00000nab a2200000 4500 10.1002_eqe.2781 OREX-CRIS 261111s2016 sp 000 0 eng d m o h cr ||||||||||| 0098-8847 1096-9845 10.1002/eqe.2781 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 High-resolution seismic monitoring of instrumented buildings using a model-based state observer Kalil Erazo; Eric M. Hernandez s.n. 2016 páginas 2513-2531 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Earthquake Engineering and Structural Dynamics 0098-8847 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Summary This paper proposes a model‐based state observer to perform high‐definition response estimation in partially instrumented building structures. The proposed estimator is verified in a simulated five‐story shear‐building structure and validated using measurements from a seven‐story reinforced concrete building slice tested at the NEES‐University of California at San Diego shake table. In both cases the proposed estimator yielded satisfactory results by estimating the time history of shear forces, bending moments, displacements, and strains at various points/sections of interest. The proposed algorithm can be used in instrumented buildings for various practical applications such as post‐earthquake damage assessment, structural control, and building code calibration. Copyright © 2016 John Wiley & Sons, Ltd. Citas OpenAlex: 20 | Cuartil SJR: Q1 Earthquake shaking table Structural engineering Reinforced concrete Bending moment Estimator Engineering Calibration Shear wall Building code Computer science Earthquake Engineering and Structural Dynamics 0098-8847 vol. 45, n. 15, p. 2513-2531, (2016) doi:10.1002/eqe.2781 https://doi.org/10.1002/eqe.2781 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1002_eqe.4011 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 0098-8847 1096-9845 10.1002/eqe.4011 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 Lower bound of structural damage to achieve practical identifiability of nonlinear models in seismic structural health monitoring Kalil Erazo; Eric M. Hernandez s.n. 2024 páginas 5-22 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Earthquake Engineering and Structural Dynamics 0098-8847 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — HYBRID Abstract This paper examines the effect of structural damage on the practical/computational identifiability of the parameters that define nonlinear models of building structures subjected to earthquake‐induced base motions. The objective is to determine the level of physical damage expected to successfully estimate the nonlinear parameters of restoring force models. For this purpose, the analyses aim to determine if the parameters that define a hysteretic (Bouc‐Wen type) model can be identified within a predefined level of accuracy from accelerations measured during seismic events that cause minor damage. The identified model is then interrogated to determine if it can provide accurate predictions of the response and damage level experienced during strong ground motions that cause moderate‐to‐severe damage. The damage model adopted is a Park–Ang type model and the unscented Kalman filter is used for parameter estimation. The results are verified using simulated two‐dimensional building models and validated using experimental data from a large‐scale shake table test. Citas OpenAlex: 7 | Cuartil SJR: Q1 Earthquake shaking table Identifiability Nonlinear system Structural engineering Structural health monitoring Engineering Extended Kalman filter Kalman filter Computer science Earthquake Engineering and Structural Dynamics 0098-8847 vol. 53, n. 1, p. 5-22, (2024) doi:10.1002/eqe.4011 https://doi.org/10.1002/eqe.4011 Texto completo vía DOI Versión publicada https://doi.org/10.1002/eqe.4011 Acceso abierto ART 00000nab a2200000 4500 10.1002_stc.2005 OREX-CRIS 261111s2017 sp o 000 0 eng d m o h cr ||||||||||| 1545-2255 1545-2263 10.1002/stc.2005 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Sen, Debarshi, autor aut (orcid)0000-0002-6475-4659 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Bayesian estimation of acoustic emissions source in plate structures using particle-based stochastic filtering Kalil Erazo; Debarshi Sen; Satish Nagarajaiah s.n. 2017 páginas e2005-e2005 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Structural Control and Health Monitoring 1545-2255 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — BRONZE The application of particle-based stochastic filters to acoustic emission source localization in plate structures is presented. The approach employs time-of-flight measurements of guided waves using triangulation to estimate the acoustic emission source coordinates in a probabilistic framework using Bayesian inference, incorporating uncertainties related to material properties, measurement noise, and geometry of the system of interest. The estimate of the source location is given by a probability density function conditional on the guided wave measurements, found using particle-based stochastic simulation algorithms; in this setting, a set of particles is used to explore the space of possible source locations and efficiently estimate the posterior. The use of 2 filters is explored: the ensemble Kalman filter and the particle filter. The former filter assumes that the posterior distribution can be approximated by a Gaussian distribution, although the latter provides a nonparametric estimate of the posterior in the form of a weighted set of samples, overcoming the challenges related to the evaluation of high-dimensional integrals in an efficient way. Results of an experimental validation study conducted in a laboratory environment demonstrate the accuracy and efficiency of the particle filter-based approach. In particular, it is shown that the proposed particle filter-based approach has the capability to locate the emission source under minimal instrumentation, providing confidence intervals as a quantitative measure of the uncertainty in the estimates. Citas OpenAlex: 23 | Cuartil SJR: Q1 Particle filter Posterior probability Algorithm Kalman filter Filter (signal processing) Mathematics Bayesian probability Computer science Statistics Computer vision Structural Control and Health Monitoring 1545-2255 vol. 24, n. 11, p. e2005-e2005, (2017) doi:10.1002/stc.2005 https://doi.org/10.1002/stc.2005 Texto completo vía DOI Versión publicada https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/stc.2005 Acceso abierto ART 00000nab a2200000 4500 10.1002_stc.2203 OREX-CRIS 261111s2018 sp o 000 0 eng d m o h cr ||||||||||| 1545-2255 1545-2263 10.1002/stc.2203 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Bayesian structural identification of a hysteretic negative stiffness earthquake protection system using unscented Kalman filtering Kalil Erazo; Satish Nagarajaiah s.n. 2018 páginas e2203-e2203 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Structural Control and Health Monitoring 1545-2255 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — BRONZE The application of Bayesian system identification in the context of a hysteretic negative stiffness system for seismic protection of structures is presented. The negative stiffness system employs the concept of apparent weakening to decrease the effective lateral stiffness of structures subjected to strong earthquakes, resulting in a significant reduction of the base shear and other seismic demands. In this paper, results from large-scale experimental testing performed by Rice University and the University at Buffalo - SUNY are used to estimate the parameters that define the nonlinear models of structures equipped with negative stiffness systems. For this purpose, an unscented Kalman filter for augmented-state nonlinear estimation is employed for structural identification. It is shown that the identified models have the capability to accurately predict the nonlinear hysteretic behavior of the modified structure. The predicted response quantities include lateral drifts and accelerations, base shear, restoring forces, and internal forces in structural members. The identified models provide benchmark parameters that can be used to predict the performance of negative stiffness systems, which is useful for the future design of structures equipped with this type of earthquake protection devices. Citas OpenAlex: 52 | Cuartil SJR: Q1 Nonlinear system Stiffness Structural engineering Kalman filter Extended Kalman filter Engineering Context (archaeology) System identification Structural health monitoring Structural system Structural Control and Health Monitoring 1545-2255 vol. 25, n. 9, p. e2203-e2203, (2018) doi:10.1002/stc.2203 https://doi.org/10.1002/stc.2203 Texto completo vía DOI Versión publicada https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/stc.2203 Acceso abierto ART 00000naa a2200000 4500 10.1007_978-1-4614-6546-1_39 OREX-CRIS 261111s2013 sp 000 0 eng d m o h cr ||||||||||| 2191-5644 2191-5652 10.1007/978-1-4614-6546-1_39 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 Real-time dynamic stress response estimation at critical locations of instrumented structures embedded in random fields Kalil Erazo; Eric M. Hernandez s.n. 2013 páginas 367-374 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 0 | Cuartil SJR: Q4 Estimator Spectral density Finite element method Vibration Random vibration Structural engineering Process (computing) Computer science Field (mathematics) Engineering Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 p. 367-374, (2013) doi:10.1007/978-1-4614-6546-1_39 https://doi.org/10.1007/978-1-4614-6546-1_39 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1007_978-3-030-47638-0_34 OREX-CRIS 261111s2020 sp 000 0 eng d m o h cr ||||||||||| 2191-5644 2191-5652 10.1007/978-3-030-47638-0_34 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Recursive Nonlinear Identification of a Negative Stiffness Device for Seismic Protection of Structures with Geometric and Material Nonlinearities Kalil Erazo; Satish Nagarajaiah s.n. 2020 páginas 315-322 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 2 | Cuartil SJR: Q4 Nonlinear system Control theory (sociology) Stiffness Vibration Context (archaeology) Displacement (psychology) Structural system Kalman filter Extended Kalman filter Structural engineering Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 p. 315-322, (2020) doi:10.1007/978-3-030-47638-0_34 https://doi.org/10.1007/978-3-030-47638-0_34 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1007_978-3-030-47638-0_47 OREX-CRIS 261111s2020 sp 000 0 eng d m o h cr ||||||||||| 2191-5644 2191-5652 10.1007/978-3-030-47638-0_47 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 An Output-Only Bayesian Identification Approach for Nonlinear Structural and Mechanical Systems Kalil Erazo; Satish Nagarajaiah s.n. 2020 páginas 431-437 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 1 | Cuartil SJR: Q4 Kalman filter Identification (biology) Bayesian probability Nonlinear system Posterior probability Forcing (mathematics) Computer science Control theory (sociology) Inverse Extended Kalman filter Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 p. 431-437, (2020) doi:10.1007/978-3-030-47638-0_47 https://doi.org/10.1007/978-3-030-47638-0_47 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1007_978-3-319-04522-1_24 OREX-CRIS 261111s2014 sp 000 0 eng d m o h cr ||||||||||| 2191-5644 2191-5652 10.1007/978-3-319-04522-1_24 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 State estimation in nonlinear structural systems Kalil Erazo; Eric M. Hernandez s.n. 2014 páginas 249-257 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 9 | Cuartil SJR: Q4 Kalman filter Estimator Extended Kalman filter Nonlinear system Ensemble Kalman filter Control theory (sociology) Particle filter Invariant extended Kalman filter State (computer science) Computer science Conference Proceedings of the Society for Experimental Mechanics Series 2191-5644 p. 249-257, (2014) doi:10.1007/978-3-319-04522-1_24 https://doi.org/10.1007/978-3-319-04522-1_24 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1007_s10518-024-01989-8 OREX-CRIS 261111s2024 sp 000 0 eng d m o h cr ||||||||||| 1570-761X 1573-1456 10.1007/s10518-024-01989-8 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Analysis and damage correlation of ground motion intensity measures from records of the 2023 Turkey-Syria earthquake Kalil Erazo s.n. 2024 páginas 1255-1278 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Bulletin of Earthquake Engineering 1570-761X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 11 | Cuartil SJR: Q1 Ground motion Seismology Structural geology Hydrogeology Geology Intensity (physics) Correlation Geodesy Geography Geotechnical engineering Bulletin of Earthquake Engineering 1570-761X vol. 23, n. 3, p. 1255-1278, (2024) doi:10.1007/s10518-024-01989-8 https://doi.org/10.1007/s10518-024-01989-8 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1007_s10950-023-10150-y OREX-CRIS 261111s2023 sp 000 0 eng d m o h cr ||||||||||| 1383-4649 1573-157X 10.1007/s10950-023-10150-y doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Updated seismic hazard curves, maps, and spectra for the northern Dominican Republic using a probabilistic seismic hazard analysis Kalil Erazo s.n. 2023 páginas 409-428 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Seismology 1383-4649 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 5 | Cuartil SJR: Q2 Seismic hazard Seismology Peak ground acceleration Geology Induced seismicity Building code Earthquake scenario Incremental Dynamic Analysis Spectral acceleration Structural geology Journal of Seismology 1383-4649 vol. 27, n. 3, p. 409-428, (2023) doi:10.1007/s10950-023-10150-y https://doi.org/10.1007/s10950-023-10150-y Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.engstruct.2019.02.017 OREX-CRIS 261111s2019 sp 000 0 eng d m o h cr ||||||||||| 0141-0296 1873-7323 10.1016/j.engstruct.2019.02.017 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Moaveni, Babak, autor aut (orcid)0000-0002-8462-4608 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Bayesian seismic strong-motion response and damage estimation with application to a full-scale seven story shear wall structure Kalil Erazo; Babak Moaveni; Satish Nagarajaiah s.n. 2019 páginas 146-160 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Engineering Structures 0141-0296 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 55 | Cuartil SJR: Q1 Earthquake shaking table Nonlinear system Structural engineering Robustness (evolution) Cantilever Engineering Kalman filter Context (archaeology) Geology Computer science Engineering Structures 0141-0296 vol. 186, p. 146-160, (2019) doi:10.1016/j.engstruct.2019.02.017 https://doi.org/10.1016/j.engstruct.2019.02.017 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.jsv.2017.03.001 OREX-CRIS 261111s2017 sp 000 0 eng d m o h cr ||||||||||| 0022-460X 1095-8568 10.1016/j.jsv.2017.03.001 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 An offline approach for output-only Bayesian identification of stochastic nonlinear systems using unscented Kalman filtering Kalil Erazo; Satish Nagarajaiah s.n. 2017 páginas 222-240 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Sound and Vibration 0022-460X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 75 | Cuartil SJR: Q1 Kalman filter Nonlinear system Unscented transform Computer science Divergence (linguistics) Extended Kalman filter Posterior probability Markov chain Monte Carlo Realization (probability) Control theory (sociology) Journal of Sound and Vibration 0022-460X vol. 397, p. 222-240, (2017) doi:10.1016/j.jsv.2017.03.001 https://doi.org/10.1016/j.jsv.2017.03.001 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.jsv.2019.06.003 OREX-CRIS 261111s2019 sp 000 0 eng d m o h cr ||||||||||| 0022-460X 1095-8568 10.1016/j.jsv.2019.06.003 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Sen, Debarshi, autor aut (orcid)0000-0002-6475-4659 Zhang, Wei, autor aut (orcid)0000-0003-4950-3242 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Sun, Limin, autor aut (orcid)0000-0002-6370-6559 On the effectiveness of principal component analysis for decoupling structural damage and environmental effects in bridge structures Kalil Erazo; Debarshi Sen; Wei Zhang; Satish Nagarajaiah; Limin Sun s.n. 2019 páginas 280-298 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Sound and Vibration 0022-460X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 84 | Cuartil SJR: Q1 Classification of discontinuities Structural health monitoring Principal component analysis Structural engineering Discontinuity (linguistics) Bridge (graph theory) Decoupling (probability) Vibration Sensitivity (control systems) Engineering Journal of Sound and Vibration 0022-460X vol. 457, p. 280-298, (2019) doi:10.1016/j.jsv.2019.06.003 https://doi.org/10.1016/j.jsv.2019.06.003 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.ymssp.2013.10.011 OREX-CRIS 261111s2014 sp 000 0 eng d m o h cr ||||||||||| 0888-3270 1096-1216 10.1016/j.ymssp.2013.10.011 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 A model-based observer for state and stress estimation in structural and mechanical systems: Experimental validation Kalil Erazo; Eric M. Hernandez s.n. 2014 páginas 141-152 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Mechanical Systems and Signal Processing 0888-3270 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 58 | Cuartil SJR: Q1 Observer (physics) Kalman filter Control theory (sociology) Cantilever State observer Covariance Random vibration Alpha beta filter Shaker Engineering Mechanical Systems and Signal Processing 0888-3270 vol. 43, n. 1-2, p. 141-152, (2014) doi:10.1016/j.ymssp.2013.10.011 https://doi.org/10.1016/j.ymssp.2013.10.011 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.ymssp.2018.07.041 OREX-CRIS 261111s2019 sp 000 0 eng d m o h cr ||||||||||| 0888-3270 1096-1216 10.1016/j.ymssp.2018.07.041 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Sen, Debarshi, autor aut (orcid)0000-0002-6475-4659 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Sun, Limin, autor aut (orcid)0000-0002-6370-6559 Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering Kalil Erazo; Debarshi Sen; Satish Nagarajaiah; Limin Sun s.n. 2019 páginas 1-15 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Mechanical Systems and Signal Processing 0888-3270 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 142 | Cuartil SJR: Q1 Residual Structural health monitoring Robustness (evolution) Kalman filter Vibration Probability density function Computer science Control theory (sociology) Biological system Algorithm Mechanical Systems and Signal Processing 0888-3270 vol. 117, p. 1-15, (2019) doi:10.1016/j.ymssp.2018.07.041 https://doi.org/10.1016/j.ymssp.2018.07.041 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.ymssp.2019.03.013 OREX-CRIS 261111s2019 sp 000 0 eng d m o h cr ||||||||||| 0888-3270 1096-1216 10.1016/j.ymssp.2019.03.013 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Lei, Ying, autor aut (orcid)0000-0002-7209-0629 Xia, Dandan, autor aut (orcid)0009-0001-4345-7225 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 A novel unscented Kalman filter for recursive state-input-system identification of nonlinear systems Kalil Erazo; Ying Lei; Dandan Xia; Satish Nagarajaiah s.n. 2019 páginas 120-135 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Mechanical Systems and Signal Processing 0888-3270 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 175 | Cuartil SJR: Q1 Kalman filter Control theory (sociology) Nonlinear system Unscented transform Identification (biology) Extended Kalman filter System identification Filter (signal processing) Computer science Displacement (psychology) Mechanical Systems and Signal Processing 0888-3270 vol. 127, p. 120-135, (2019) doi:10.1016/j.ymssp.2019.03.013 https://doi.org/10.1016/j.ymssp.2019.03.013 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1016_j.ymssp.2020.107015 OREX-CRIS 261111s2021 sp 000 0 eng d m o h cr ||||||||||| 0888-3270 1096-1216 10.1016/j.ymssp.2020.107015 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Roohi, Milad, autor aut (orcid)0000-0002-8937-3158 Rosowsky, David V., autor aut (orcid)0000-0003-3079-6428 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 An extended model-based observer for state estimation in nonlinear hysteretic structural systems Kalil Erazo; Milad Roohi; David V. Rosowsky; Eric M. Hernandez s.n. 2021 páginas 107015-107015 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Mechanical Systems and Signal Processing 0888-3270 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Citas OpenAlex: 36 | Cuartil SJR: Q1 Observer (physics) Nonlinear system Control theory (sociology) Estimator Kalman filter Extended Kalman filter Computer science Benchmark (surveying) State observer Alpha beta filter Mechanical Systems and Signal Processing 0888-3270 vol. 146, p. 107015-107015, (2021) doi:10.1016/j.ymssp.2020.107015 https://doi.org/10.1016/j.ymssp.2020.107015 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1061_9780784413609.150 OREX-CRIS 261111s2014 sp 000 0 eng d m o h cr ||||||||||| 10.1061/9780784413609.150 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 Uncertainty Quantification for State Estimation in Nonlinear Structural Systems Kalil Erazo; Eric M. Hernandez s.n. 2014 páginas 1494-1503 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso restringido This paper presents the application of state estimators in nonlinear structural systems. The objective is to provide a comparison of the effectiveness to reconstruct the state time history in nonlinear building-type structures of four existing algorithms - namely, extended Kalman filter, unscented Kalman filter, ensemble Kalman filter and the particle filter. We compare their accuracy under ideal conditions and their robustness to different types of modeling errors. The uncertainty in the estimate of the quantities of interest is described by their covariance matrix. The systems of interest are nonlinear frames, where the material nonlinearity is given by piecewise linear hysteretic force deformation functions. Citas OpenAlex: 1 Kalman filter Ensemble Kalman filter Nonlinear system Robustness (evolution) Extended Kalman filter Invariant extended Kalman filter Control theory (sociology) Covariance Estimator Computer science Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 p. 1494-1503, (2014) doi:10.1061/9780784413609.150 https://doi.org/10.1061/9780784413609.150 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1061__asce_em.1943-7889.0001114 OREX-CRIS 261111s2016 sp 000 0 eng d m o h cr ||||||||||| 0733-9399 1943-7889 10.1061/(asce)em.1943-7889.0001114 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 Bayesian Model–Data Fusion for Mechanistic Postearthquake Damage Assessment of Building Structures Kalil Erazo; Eric M. Hernandez s.n. 2016 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Engineering Mechanics 0733-9399 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido This paper presents a probabilistic framework for estimating seismic-induced damage in partially instrumented buildings. The proposed framework uses acceleration measurements at a limited number of stories and Bayesian filtering to estimate the response at all stories. The paper compares four Bayesian filters: the extended, unscented, and ensemble Kalman filters, and the particle filter. The estimated response throughout the building serves as input to a damage model that yields an estimate of structural damage and its uncertainty at all stories. The methodology is numerically verified in an elastoplastic 5-story shear building and in a 10-story inelastic moment-resisting frame under various types of model errors and minimal instrumentation. It was found that under ideal and mild modeling error conditions, the proposed methodology provides consistent estimates of damage and its uncertainty. Citas OpenAlex: 28 | Cuartil SJR: Q1 Bayesian probability Kalman filter Probabilistic logic Moment (physics) Computer science Frame (networking) Ensemble Kalman filter Acceleration Recursive Bayesian estimation Extended Kalman filter Journal of Engineering Mechanics 0733-9399 vol. 142, n. 9, (2016) doi:10.1061/(asce)em.1943-7889.0001114 https://doi.org/10.1061/(asce)em.1943-7889.0001114 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1061_ajrua6.0000837 OREX-CRIS 261111s2016 sp 000 0 eng d m o h cr ||||||||||| 2376-7642 10.1061/ajrua6.0000837 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 Uncertainty Quantification of State Estimation in Nonlinear Structural Systems with Application to Seismic Response in Buildings Kalil Erazo; Eric M. Hernandez s.n. 2016 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2376-7642 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido This paper presents the application of Bayesian filtering for the estimation and uncertainty quantification of interstory drifts and shears in partially instrumented buildings. We investigate the performance of four Bayesian filters: the extended, unscented, and ensemble Kalman filters, and the particle filter. The filters were compared in a simulation environment under ideal modeling and model error conditions. Computational efficiency, estimation accuracy and statistical error behavior of the filters was investigated. It was found that under ideal modeling conditions all the filters perform adequately. However, the filters exhibit significant sensitivity to parametric and nonparametric model errors. In the application studied, the sensitivity to parametric errors was nonsymmetric, with underestimation of model stiffness and yielding strength having a larger detrimental effect on the accuracy than overestimation of these parameters. Citas OpenAlex: 30 | Cuartil SJR: Q2 Sensitivity (control systems) Parametric statistics Kalman filter Nonlinear system Bayesian probability Computer science Ensemble Kalman filter Ideal (ethics) Uncertainty quantification Particle filter ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 2376-7642 vol. 2, n. 3, (2016) doi:10.1061/ajrua6.0000837 https://doi.org/10.1061/ajrua6.0000837 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1061_jenmdt.emeng-7482 OREX-CRIS 261111s2024 sp 000 0 eng d m o h cr ||||||||||| 0733-9399 1943-7889 10.1061/jenmdt.emeng-7482 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Matteo, Alberto Di, autor aut (orcid)0000-0003-1000-3398 Spanos, Pol D., autor aut Parameter Estimation of Stochastic Fractional Dynamic Systems Using Nonlinear Bayesian Filtering System Identification Methods Kalil Erazo; Alberto Di Matteo; Pol D. Spanos s.n. 2024 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Engineering Mechanics 0733-9399 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido This paper presents the application of nonlinear Bayesian filtering–based system identification (SI) methods when employed to estimate the parameters of stochastic fractional dynamic systems. The objective is to demonstrate the capabilities and limitations of time-domain stochastic filtering–based SI for systems endowed with fractional derivative elements when the estimation is performed under different operating conditions. The conditions include measured forcing inputs (input-output identification), stochastic/unmeasured forcing inputs (output-only identification), and different types of measurements and levels of measurement noise, in the context of both linear and hysteretic fractional oscillators. The accuracy and estimation error of three methods was studied, namely, the unscented Kalman filter, the ensemble Kalman filter, and the particle filter. Baseline results that can be applied to the modeling, identification, and control of fractional structural and mechanical systems are provided. It is shown that nonlinear Bayesian filtering methods have the capability to accurately estimate the response and parameters of fractional oscillators, and that the coefficient and order of fractional elements are observable/identifiable from output response measurements. Citas OpenAlex: 7 | Cuartil SJR: Q1 Control theory (sociology) Kalman filter Nonlinear system Noise (video) Context (archaeology) Extended Kalman filter Filter (signal processing) System identification Computer science Estimation theory Journal of Engineering Mechanics 0733-9399 vol. 150, n. 2, (2024) doi:10.1061/jenmdt.emeng-7482 https://doi.org/10.1061/jenmdt.emeng-7482 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1061_jenmdt.emeng-8901 OREX-CRIS 261111s2026 sp 000 0 eng d m o h cr ||||||||||| 0733-9399 1943-7889 10.1061/jenmdt.emeng-8901 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Spanos, Pol D., autor aut Stochastic Analysis of Fractional Structural Systems Subjected to Fractional Ground Motions Kalil Erazo; Pol D. Spanos s.n. 2026 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Engineering Mechanics 0733-9399 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido In this paper, the nonstationary stochastic response of fractional structural systems subjected to fractional excitations is examined. Fractional operators provide an effective mathematical construct to model energy dissipation and stiffness–damping coupling mechanisms that cannot be modeled by integer operators. In particular, the memory property of fractional operators makes them suitable for treating the non-Markovian features exhibited by systems with path-dependent responses, such as the damping and stiffness mechanisms in structural systems and soils under dynamic loading. In this paper, particular attention is devoted to fractional structural systems excited by a proposed stochastic ground motion model consisting of a nonstationary filtered fractional Kanai–Tajimi process, thus accounting for path-dependent energy dissipation in both the structure and the seismic waves’ propagating medium. The work attempts to elucidate the sensitivity and effects on probabilistic structural response predictions due to non-Markovian features in the excitation when both the system and the excitation are modeled using fractional operators. To analyze the fractional operators describing the structure and soil, the operators are discretized and approximated as the superposition of the solutions of a system of linear first-order ordinary differential equations, which, together with the system dynamics equations, are transformed into an equivalent first-order linear state-space model. The stochastic response evaluation for the system is conducted in closed form by solving the associated Lyapunov covariance equation. The analytical results from stochastic analyses are juxtaposed with pertinent Monte Carlo simulations to demonstrate the accuracy of the proposed method. Validation results using measured data from the 2023 Turkey–Syria earthquake demonstrated that the recorded ground motions exhibit fractional features with an energy rate of decay in the spectral density that is captur Citas OpenAlex: 0 | Cuartil SJR: Q1 Fractional Brownian motion Covariance Structural system Dissipation Superposition principle Fractional calculus Stochastic process Discretization Linear system Journal of Engineering Mechanics 0733-9399 vol. 152, n. 8, (2026) doi:10.1061/jenmdt.emeng-8901 https://doi.org/10.1061/jenmdt.emeng-8901 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.1061_jsendh.steng-14737 OREX-CRIS 261111s2026 sp 000 0 eng d m o h cr ||||||||||| 0733-9445 1943-541X 10.1061/jsendh.steng-14737 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Morgan, Jacob A., autor aut (orcid)0000-0001-9872-6472 Büyüköztürk, Oral, autor aut (orcid)0000-0002-7712-7478 Seismic Response Estimation and Performance Assessment of Large-Scale Structures Using Deep-Learning Methods Kalil Erazo; Jacob A. Morgan; Oral Büyüköztürk s.n. 2026 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Journal of Structural Engineering 0733-9445 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso restringido Applications of machine learning (ML) in structural engineering and mechanics have increased substantially in recent years. Interest in ML stems from its potential to handle complex problems with increased accuracy and/or computational efficiency compared with traditional methods when a sufficient amount of data is available. This study explored the application of deep neural networks to seismic response and damage estimation for large-scale civil structures in the context of performance-based earthquake engineering. The objective was to experimentally validate the accuracy and efficiency of modified versions of the long short-term memory (LSTM) neural network and the physics-guided convolutional neural network (PhyCNN) in structures subjected to base excitations in linear and nonlinear response regimes. In particular, the robustness of the methods to predict the response and state of integrity of structures undergoing severe damage due to strong base motions when the methods are trained using limited low-amplitude linear input–output data was assessed. The performance and predicting capabilities of the methods were evaluated using experimental data from two full-scale case studies: a six-story building structure in San Bernardino, California, instrumented as part of the California Strong Motion Instrumentation Program (CSMIP), and a seven-story full-scale shear wall structure tested on the high-performance outdoor shake table at the University of California at San Diego. The results show that deep neural networks have limited robustness when applied to estimate response features outside the training domain, with a significant reduction in the prediction accuracy if the level of nonlinearity for prediction is higher than in the training data set. Citas OpenAlex: 1 | Cuartil SJR: Q1 Robustness (evolution) Artificial neural network Nonlinear system Earthquake shaking table Convolutional neural network Context (archaeology) Earthquake engineering Experimental data Journal of Structural Engineering 0733-9445 vol. 152, n. 2, (2026) doi:10.1061/jsendh.steng-14737 https://doi.org/10.1061/jsendh.steng-14737 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1117_12.2527936 OREX-CRIS 261111s2019 sp 000 0 eng d m o h cr ||||||||||| 10.1117/12.2527936 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 On-line response and damage estimation of a shear wall structure tested on a shake table using Bayesian filtering Kalil Erazo; Satish Nagarajaiah s.n. 2019 páginas 114-114 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Proceedings of SPIE - The International Society for Optical Engineering Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso restringido This paper presents the application of a probabilistic method to estimate the complete dynamic response and state of damage of a large-scale structural system subjected to strong base excitations. The structure considered consists of a sevenstory slice of a shear wall building tested at the George E. Brown Jr. Network for Earthquake Engineering Simulation site at the University of California at San Diego. The acceleration response measured at limited locations is combined with a nonlinear model to estimate the complete dynamic response at unmeasured degrees of freedom. To improve the predicting capability of the mathematical model a subset of the parameters is jointly estimated with the response, a strategy known as joint state-parameter estimation or augmented state estimation. The estimated response is used to compute a damage index as a quantitative measure of damage. Citas OpenAlex: 0 Earthquake shaking table Shear wall Acceleration Bayesian probability Response analysis Structural engineering Computer science Engineering Artificial intelligence Physics Proceedings of SPIE - The International Society for Optical Engineering vol. 2, p. 114-114, (2019) doi:10.1117/12.2527936 https://doi.org/10.1117/12.2527936 Texto completo vía DOI Versión publicada ART 00000naa a2200000 4500 10.1142_9789811243011_0006 OREX-CRIS 261111s2022 sp 000 0 eng d m o h cr ||||||||||| 10.1142/9789811243011_0006 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Structural health monitoring of civil infrastructure using applied recursive bayesian estimation methods Kalil Erazo; Satish Nagarajaiah s.n. 2022 páginas 171-195 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Recent Developments In Structural Health Monitoring And Assessment - Opportunities And Challenges: Bridges, Buildings And Other Infrastructures Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso restringido Citas OpenAlex: 0 Estimation Bayesian probability Computer science Econometrics Engineering Artificial intelligence Mathematics Systems engineering Recent Developments In Structural Health Monitoring And Assessment - Opportunities And Challenges: Bridges, Buildings And Other Infrastructures p. 171-195, (2022) doi:10.1142/9789811243011_0006 https://doi.org/10.1142/9789811243011_0006 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.12989_eas.2022.22.5.503 OREX-CRIS 261111s2022 sp 000 0 spa d m o h cr ||||||||||| 10.12989/eas.2022.22.5.503 doi OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Seismic fragility curves for a concrete bridge using structural health monitoring and digital twins s.n. 2022 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Earthquake and Structures Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Earthquake and Structures (2022) doi:10.12989/eas.2022.22.5.503 https://doi.org/10.12989/eas.2022.22.5.503 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.12989_smm.2016.3.1.051 OREX-CRIS 261111s2016 sp o 000 0 eng d m o h cr ||||||||||| 2288-6605 2288-6613 10.12989/smm.2016.3.1.051 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Nagarajaiah, Satish, autor aut (orcid)0000-0003-0088-1656 Structural monitoring and identification of civil infrastructure in the United States Kalil Erazo; Satish Nagarajaiah s.n. 2016 páginas 51-69 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Structural Monitoring and Maintenance 2288-6605 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — HYBRID Monitoring the performance and estimating the remaining useful life of aging civil infrastructure in the United States has been identified as a major objective in the civil engineering community. Structural health monitoring has emerged as a central tool to fulfill this objective. This paper presents a review of the major structural monitoring programs that have been recently implemented in the United States, focusing on the integrity and performance assessment of large-scale structural systems. Applications where response data from a monitoring program have been used to detect and correct structural deficiencies are highlighted. These applications include (but are not limited to): i) Post-earthquake damage assessment of buildings and bridges; ii) Monitoring of cables vibration in cable-stayed bridges; iii) Evaluation of the effectiveness of technologies for retrofit and seismic protection, such as base isolation systems; and iv) Structural damage assessment of bridges after impact loads resulting from ship collisions. These and many other applications show that a structural health monitoring program is a powerful tool for structural damage and condition assessment, that can be used as part of a comprehensive decision-making process about possible actions that can be undertaken in a large-scale civil infrastructure system after potentially damaging events. Citas OpenAlex: 71 | Cuartil SJR: Q3 Structural health monitoring Civil infrastructure Identification (biology) Structural system Engineering Structural integrity Forensic engineering Construction engineering Scale (ratio) Risk analysis (engineering) Structural Monitoring and Maintenance 2288-6605 vol. 3, n. 1, p. 51-69, (2016) doi:10.12989/smm.2016.3.1.051 https://doi.org/10.12989/smm.2016.3.1.051 Texto completo vía DOI Versión publicada https://doi.org/10.12989/smm.2016.3.1.051 Acceso abierto ART 00000naa a2200000 4500 10.21203_rs.3.rs-2082413_v1 OREX-CRIS 261111s2022 sp o 000 0 eng d m o h cr ||||||||||| 10.21203/rs.3.rs-2082413/v1 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Updated Seismic Hazard Curves, Maps, and Spectra for the Northern Dominican Republic using a Probabilistic Seismic Hazard Analysis Kalil Erazo s.n. 2022 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Research Square Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Citas OpenAlex: 5 Seismology Seismic hazard Hazard Probabilistic logic Geology Hazard map Geography Statistics Mathematics Landslide Research Square (2022) doi:10.21203/rs.3.rs-2082413/v1 https://doi.org/10.21203/rs.3.rs-2082413/v1 Texto completo vía DOI Versión publicada https://www.researchsquare.com/article/rs-2082413/latest.pdf Acceso abierto ART 00000naa a2200000 4500 10.21203_rs.3.rs-2082413_v2 OREX-CRIS 261111s2022 sp o 000 0 eng d m o h cr ||||||||||| 10.21203/rs.3.rs-2082413/v2 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Updated Seismic Hazard Curves, Maps, and Spectra for the Northern Dominican Republic using a Probabilistic Seismic Hazard Analysis Kalil Erazo s.n. 2022 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Research Square Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Citas OpenAlex: 5 Seismic hazard Seismology Peak ground acceleration Incremental Dynamic Analysis Geology Induced seismicity Earthquake scenario Earthquake simulation Building code Spectral acceleration Research Square (2022) doi:10.21203/rs.3.rs-2082413/v2 https://doi.org/10.21203/rs.3.rs-2082413/v2 Texto completo vía DOI Versión publicada https://doi.org/10.21203/rs.3.rs-2082413/v2 Acceso abierto ART 00000naa a2200000 4500 10.21203_rs.3.rs-3761020_v1 OREX-CRIS 261111s2023 sp o 000 0 eng d m o h cr ||||||||||| 10.21203/rs.3.rs-3761020/v1 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Analysis of ground motion intensity measures for records of the 2023 Turkey-Syria earthquake Kalil Erazo s.n. 2023 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Research Square Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Abstract Ground motion intensity measures (GMIM) provide a quantitative metric of the strength of a ground motion with the goal of providing a mapping to the potential damaging effects induced by earthquakes. The potential correlation between GMIM and earthquake damage allows their use in earthquake engineering applications such as (pre-event) seismic hazard/risk assessment and mitigation, and (post-event) damage assessment and resources allocation for disasters response. GMIM are also used for damage prediction in the context of performance-based earthquake engineering and earthquake-resistant design. This paper presents the evaluation of GMIM using strong motion records obtained during the 2023 Turkey-Syria earthquake. The GMIM studied include peak ground acceleration, peak ground velocity, spectral accelerations, root-mean-square acceleration, Arias intensity, cumulative absolute velocity, Housner spectral intensity, and Araya-Saragoni intensity. The GMIM are evaluated at several spatial locations where ground motion records were measured during the events. Examination of the results show that some of the GMIM showed particularly high values at locations where severe damage was observed after the earthquake. It is also shown that the maximum considered earthquake (MCE) spectra was exceeded at several locations where extensive damage was observed. Citas OpenAlex: 11 Peak ground acceleration Spectral acceleration Intensity (physics) Seismology Context (archaeology) Seismic hazard Ground motion Strong ground motion Geology Acceleration Research Square (2023) doi:10.21203/rs.3.rs-3761020/v1 https://doi.org/10.21203/rs.3.rs-3761020/v1 Texto completo vía DOI Versión publicada https://www.researchsquare.com/article/rs-3761020/latest.pdf Acceso abierto ART 00000naa a2200000 4500 10.2139_ssrn.4552248 OREX-CRIS 261111s2023 sp o 000 0 eng d m o h cr ||||||||||| 1556-5068 10.2139/ssrn.4552248 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Identification of Nonlinear Structural and Mechanical Systems Using Bayesian Filtering Methods Kalil Erazo s.n. 2023 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier SSRN 1556-5068 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Citas OpenAlex: 8 Identification (biology) Bayesian probability Nonlinear system Computer science System identification Mathematics Algorithm Econometrics Artificial intelligence Data mining SSRN 1556-5068 (2023) doi:10.2139/ssrn.4552248 https://doi.org/10.2139/ssrn.4552248 Texto completo vía DOI Versión publicada https://doi.org/10.2139/ssrn.4552248 Acceso abierto ART 00000naa a2200000 4500 10.2139_ssrn.4978015 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 1556-5068 10.2139/ssrn.4978015 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Morgan, Jacob A., autor aut (orcid)0000-0001-9872-6472 Büyüköztürk, Oral, autor aut (orcid)0000-0002-7712-7478 Seismic Response Estimation and Performance Assessment in Large-Scale Structures Using Deep Learning Methods Kalil Erazo; Jacob A. Morgan; Oral Büyüköztürk s.n. 2024 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier SSRN 1556-5068 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — GREEN Citas OpenAlex: 1 Scale (ratio) Estimation Computer science Artificial intelligence Deep learning Machine learning Seismology Geology Engineering Geography SSRN 1556-5068 (2024) doi:10.2139/ssrn.4978015 https://doi.org/10.2139/ssrn.4978015 Texto completo vía DOI Versión publicada https://doi.org/10.2139/ssrn.4978015 Acceso abierto ART 00000naa a2200000 4500 10.22206_cyap.2019.v2i1.pp67-84 OREX-CRIS 261111s2019 sp 000 0 spa d m o h cr ||||||||||| 2636-218X (impreso) 2636-2171 (en linea) 10.22206/cyap.2019.v2i1.pp67-84 doi OREX-CRIS spa rda OREX-CRIS spa Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Probabilistic seismic hazard analysis and design earthquake for Santiago, Dominican Republic Erazo, Kalil s.n. 2019 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, ingenierías & aplicaciones 2636-218X (impreso) Registro importado desde CRIS OREX Digital. Fuentes: koha Acceso restringido This article presents the results of a probabilistic seismic hazard analysis (PSHA) conducted for a site in the city of Santiago, located in the Dominican Republic. To perform the PSHA recent seismological data of the Septentrional fault (seismic source) is used to calibrate an earthquake recurrence model, and to compute the seismic hazard curves of several earthquake, ground motion, and structural response parameters of interest in earthquake engineering applications. The parameters studied include horizontal peak ground acceleration and 5 % damping pseudo-acceleration response spectrum ordinates. The effect of uncertainty in the seismic fault rupture zone location is studied using a Monte Carlo analysis; for this purpose, the rupture location is treated as a random variable along the fault. The PSHA results are compared to the site design response spectrum with 2 % exceedance probability in 50 years specified in the Dominican Republic building code. It is concluded that there is a 17 % probability that the actual 2 % exceedance spectrum ordinates are greater than those specified in the design spectrum due to uncertainties related to the attenuation law employed to relate earthquake source and ground motion characteristics at the site. Based on the attenuation model, the design spectrum at the site is consistent with the spectrums generated by a 7.9 (moment) magnitude earthquake, which is close to the 7.8 magnitude characteristic earthquake estimated in previous studies for the Septentrional fault. Citas OpenAlex: 2 Riesgos sísmicos Análisis de riesgo de terremotos Ciencia, ingenierías & aplicaciones 2636-218X (impreso) (2019) doi:10.22206/cyap.2019.v2i1.pp67-84 https://doi.org/10.22206/cyap.2019.v2i1.pp67-84 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.22206_cyap.2024.v7i2.3338 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 2636-2171 2636-218X 10.22206/cyap.2024.v7i2.3338 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Matteo, Alberto Di, autor aut (orcid)0000-0003-1000-3398 Spanos, Pol D., autor aut Analysis of Fractional Dynamical Systems Using Recursive Bayesian Estimation Methods and Response Data Kalil Erazo; Alberto Di Matteo; Pol D. Spanos s.n. 2024 páginas 139-141 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, Ingenierías y Aplicaciones 2636-2171 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso abierto — DIAMOND The research titled Analysis of fractional dynamical systems using recursive Bayesian estimation methods and response data was presented at the Engineering Mechanics Institute Conference and Probabilistic Mechanics & Reliability Conference (EMI/PMC 2024), University of Illinois Urbana-Champaign, Chicago, IL, May 28-31 2024, as part of the Minisymposium Computational methods for stochastic engineering dynamics. Citas OpenAlex: 0 Bayesian probability Recursive Bayesian estimation Estimation Computer science Bayes estimator Mathematics Applied mathematics Statistics Engineering Ciencia, Ingenierías y Aplicaciones 2636-2171 vol. 7, n. 2, p. 139-141, (2024) doi:10.22206/cyap.2024.v7i2.3338 https://doi.org/10.22206/cyap.2024.v7i2.3338 Texto completo vía DOI Versión publicada https://revistas.intec.edu.do/index.php/cite/article/download/3338/3827 Acceso abierto ART 00000naa a2200000 4500 10.2514_6.2013-1897 OREX-CRIS 261111s2013 sp 000 0 eng d m o h cr ||||||||||| 10.2514/6.2013-1897 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Hernandez, Eric M., autor aut (orcid)0000-0003-1528-5259 Experimental verification of a finite element model based functional observer for structural systems Kalil Erazo; Eric M. Hernandez s.n. 2013 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid Acceso restringido The objective of this paper is to present the results of an experimental study aimed at verifying the performance of an algorithm developed by one of the authors for state estimation in structural and mechanical systems subject to unmeasured excitations realizations of random processes with known spectral density matrix. The proposed algorithm operates as a modified finite element model of the original system, driven by corrective forces which are linear combinations of the noise contaminated measurements. The proposed method is capable of handling large-scale finite element models, and any quantity in the modified model constitutes an estimate of the corresponding quantity in the system. A laboratory model consisting of an aluminium cantilever beam was used to perform the test, where two types of loading conditions were tested: an impact hammer test and a banded white noise excitation through a shaker. The experimental results of the proposed estimator are compared to other techniques, such as a Luenberger observer and the Kalman filter. The quality displayed by the proposed observer exceeded or was comparable to the compared methods with the advantage of reduced computational cost. Citas OpenAlex: 0 Finite element method Computer science Observer (physics) Element (criminal law) Structural engineering Engineering Physics 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference (2013) doi:10.2514/6.2013-1897 https://doi.org/10.2514/6.2013-1897 Texto completo vía DOI Versión publicada ART 00000nab a2200000 4500 10.3390_buildings16061137 OREX-CRIS 261111s2026 sp o 000 0 eng d m o h cr ||||||||||| 2075-5309 10.3390/buildings16061137 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Laguerre, Marc-Ansy, autor aut (orcid)0009-0005-5764-2877 Disaggregated Empirical Fragility Modeling and Bayesian Parameter Updating for Buildings in Haiti Kalil Erazo; Marc-Ansy Laguerre s.n. 2026 páginas 1137-1137 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Buildings 2075-5309 Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD Quantifying the vulnerability of buildings is fundamental to seismic risk mitigation, and fragility curves are among the most widely used tools for this purpose. With the growing availability and access to post-earthquake damage data from reconnaissance campaigns and measured ground motion parameters, new opportunities have emerged to derive and refine fragility models, improving the seismic damage prediction models and the quantification of seismic risk. Following the 2010 Haiti earthquake, extensive datasets were compiled that include both structural and geotechnical characteristics, as well as observed damage states for a wide range of building classes. In this study, two such datasets are employed in a complementary manner to develop disaggregated fragility models to probabilistically quantify structural damage conditioned on specific building and site attributes, rather than parameters averaged over an entire building stock. The first dataset comprises approximately 335,000 building assessment tags collected, and it is used to develop a set of baseline fragility curves conditioned on parameters such as number of stories, soil type, wall system, topography, roof type, and building age. The second dataset comprises 170 reinforced concrete buildings with more detailed and reliable information, and it is used to update the baseline fragility models using Bayesian estimation. The Bayesian updating introduces fragilities specific to the presence of captive columns and priority index, a metric representing the ratio of wall and column area to floor area. Bayesian updating is performed within a Markov Chain Monte Carlo (MCMC) framework using the Metropolis–Hastings algorithm. The resulting fragility functions reveal the high vulnerability of the Haitian building stock and demonstrate how multiple site and structural attributes influence seismic fragility. Citas OpenAlex: 1 | Cuartil SJR: Q1 Fragility Bayesian probability Baseline (sea) Markov chain Range (aeronautics) Bayesian inference Vulnerability (computing) Incremental Dynamic Analysis Buildings 2075-5309 vol. 16, n. 6, p. 1137-1137, (2026) doi:10.3390/buildings16061137 https://doi.org/10.3390/buildings16061137 Texto completo vía DOI Versión publicada https://www.mdpi.com/2075-5309/16/6/1137/pdf?version=1773371176 Acceso abierto ART 00000nab a2200000 4500 10.3390_vibration8010001 OREX-CRIS 261111s2024 sp o 000 0 eng d m o h cr ||||||||||| 2571-631X 10.3390/vibration8010001 doi OREX-CRIS spa rda OREX-CRIS eng Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Parameter Estimation of Nonlinear Structural Systems Using Bayesian Filtering Methods Kalil Erazo s.n. 2024 páginas 1-1 recurso en línea texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Vibration 2571-631X Registro importado desde CRIS OREX Digital. Fuentes: openalex, orcid, sjr Acceso abierto — GOLD This paper examines the performance of Bayesian filtering system identification in the context of nonlinear structural and mechanical systems. The objective is to assess the accuracy and limitations of the four most well-established filtering-based parameter estimation methods: the extended Kalman filter, the unscented Kalman filter, the ensemble Kalman filter, and the particle filter. The four methods are applied to estimate the parameters and the response of benchmark dynamical systems used in structural mechanics, including a Duffing oscillator, a hysteretic Bouc–Wen oscillator, and a hysteretic Bouc–Wen chain system. Based on the performance, accuracy, and computational efficiency of the methods under different operating conditions, it is concluded that the unscented Kalman filter is the most effective filtering system identification method for the systems considered, with the other filters showing large estimation errors or divergence, high computational cost, and/or curse of dimensionality as the dimension of the system and the number of uncertain parameters increased. Citas OpenAlex: 8 | Cuartil SJR: Q2 Nonlinear system Estimation Bayesian probability Recursive Bayesian estimation Computer science Bayes estimator Mathematics Algorithm Applied mathematics Artificial intelligence Vibration 2571-631X vol. 8, n. 1, p. 1-1, (2024) doi:10.3390/vibration8010001 https://doi.org/10.3390/vibration8010001 Texto completo vía DOI Versión publicada https://www.mdpi.com/2571-631X/8/1/1/pdf?version=1735631869 Acceso abierto ART 00000naa a2200000 4500 cris-3b26db5c OREX-CRIS 261111s2014 sp 000 0 spa d m o h cr ||||||||||| OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Real-time efficient state estimation in nonlinear structural systems s.n. 2014 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Proceedings of the International Conference on Structural Dynamic , EURODYN Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Proceedings of the International Conference on Structural Dynamic , EURODYN (2014) ART 00000naa a2200000 4500 cris-3d37bd94 OREX-CRIS 261111s2020 sp o 000 0 spa d m o h cr ||||||||||| 2636-2171 (en linea) OREX-CRIS spa rda OREX-CRIS spa Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Análisis probabilístico de peligro sísmico y terremoto de diseño para Santiago-República Dominicana Erazo, Kalil s.n. 2020 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, ingenierías & aplicaciones 2636-2171 (en linea) Registro importado desde CRIS OREX Digital. Fuentes: koha Acceso abierto — GREEN Este artículo presenta los resultados de un Análisis Probabilístico de Peligro Sísmico (APPS) realizado para un sitio ubicado en el centro de la ciudad de Santiago, localizada en la República Dominicana. Para realizar el APPS se utilizaron datos sismológicos recientes de la falla Septentrional (fuente sísmica) con el fin de calibrar un modelo de recurrencia de terremotos, y para calcular las curvas de peligro sísmico de varios parámetros de terremotos, movimiento del suelo y respuesta estructural de interés en aplicaciones de ingeniería sísmica. Los parámetros estudiados incluyen aceleración horizontal pico del suelo y ordenadas del espectro de respuesta de pseudo-aceleración con 5 % de amortiguamiento. El efecto de la incertidumbre de la ubicación de la zona de ruptura en la falla es estudiado usando un análisis de Monte Carlo; con este propósito la ubicación de la ruptura se trata como una variable aleatoria uniforme en la longitud de la falla. Los resultados del APPS son comparados con el espectro de diseño del sitio con 2 % de probabilidad de excedencia en 50 años, especificado en la normativa de diseño de la República Dominicana. Se concluye que hay un 17 % de probabilidad de que el valor actual de las ordenadas espectrales con 2 % de excedencia sea mayor que el valor especificado en el espectro de diseño, debido a incertidumbres relacionadas a la ley de atenuación usada para relacionar la fuente de terremotos y las características del movimiento del suelo en el sitio. Basado en el modelo de atenuación, el espectro de diseño en el sitio es consistente con los espectros generados por terremotos de magnitud (momento) de 7.9, lo cual es cercano al terremoto característico de magnitud de 7.8 estimado en estudios recientes de la falla Septentrional. Probabilidades Análisis de riesgo sísmico Análisis de riesgo de terremotos Ciencia, ingenierías & aplicaciones 2636-2171 (en linea) (2020) https://revistas.intec.edu.do/index.php/cite/article/view/1741 Acceso abierto ART 00000naa a2200000 4500 cris-3f105141 OREX-CRIS 261111s2013 sp 000 0 spa d m o h cr ||||||||||| OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Nonlinear model-data fusion for post-earthquake assessment of structures s.n. 2013 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013 Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013 (2013) ART 00000naa a2200000 4500 cris-99940002 OREX-CRIS 261111s2021 sp o 000 0 spa d m o h cr ||||||||||| 2636-218X (impreso) 2636-2171 (en linea) OREX-CRIS spa rda OREX-CRIS spa Erazo, Kalil, autor aut (orcid)0000-0002-5890-7073 Taveras, Adela, autor aut Demandas estructurales inducidas por vientos huracanados y terremotos en un edificio flexible en la República Dominicana Erazo, Kalil; Taveras, Adela s.n. 2021 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Ciencia, ingenierías & aplicaciones 2636-218X (impreso) Registro importado desde CRIS OREX Digital. Fuentes: koha Acceso abierto — GREEN Este artículo presenta los resultados de un análisis comparativo de las demandas estructurales inducidas por vientos huracanados y terremotos en un edificio flexible diseñado para la ciudad de Santo Domingo en la República Dominicana. La estructura consiste en un edificio de 33 niveles con periodos fundamentales de vibración mayores de 3 segundos en las dos principales direcciones ortogonales, por lo que se considera un edificio flexible. El edificio fue inicialmente diseñado para cumplir con los requerimientos de la normativa vigente para efectos inducidos por terremotos (R-001) sin tomar en consideración los efectos inducidos por vientos huracanados; subsecuentemente, las demandas inducidas por viento fueron estimadas usando el procedimiento direccional del ASCE 07-10, utilizando como base la velocidad de diseño en recientes mapas de amenaza de viento desarrollados para la región del Caribe. Los resultados muestran que para la estructura analizada los efectos de vientos son significativamente mayores a los efectos sísmicos, lo que evidencia la urgencia de actualizar la actual normativa que define las cargas mínimas de diseño por viento de la República Dominicana. La justificación de dicha urgencia es el auge en la construcción de estructuras flexibles (principalmente edificios esbeltos) cuyo comportamiento tiende a ser dominado por efectos inducidos por viento, en especial en regiones de alta recurrencia de huracanes. Las demandas estructurales comparadas incluyen desplazamientos laterales, derivas de entrepiso, cortante basal y momento de vuelco. Estructuras sismoresistentes Edificios Ciencia, ingenierías & aplicaciones 2636-218X (impreso) (2021) https://revistas.intec.edu.do/index.php/cite/article/view/2247/2646 Acceso abierto ART 00000naa a2200000 4500 cris-bc276454 OREX-CRIS 261111s2013 sp 000 0 spa d m o h cr ||||||||||| OREX-CRIS spa rda OREX-CRIS spa OREX Digital SL, autor Experimental verification of a finite element model based functional observer for structural systems s.n. 2013 texto txt rdacontent ordenador c rdamedia recurso en línea cr rdacarrier Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference Registro importado desde CRIS OREX Digital. Fuentes: orcid Acceso restringido Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference (2013) ART