Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process

Juan Castiglione; Rodrigo Astroza; Saeed Eftekhar Azam; Daniel Linzell

doi:10.1007/978-3-030-47638-0_9

Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process

Juan Castiglione, Rodrigo Astroza^*, Saeed Eftekhar Azam, Daniel Linzell

^*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

Resumen

A novel approach to deal with nonlinear system identification of civil structures subjected to unmeasured excitations is presented. Using only sparse global dynamic structural response, mechanics-based nonlinear finite element (FE) model parameters and unmeasured inputs are estimated. Unmeasured inputs are represented by a time-varying autoregressive (TAR) model. Unknown FE model parameters and TAR model parameters are jointly estimated using an unscented Kalman filter. The proposed method is validated using numerically simulated data from a 3D steel frame subjected to seismic base excitation. Six material parameters and one component of the base excitation are considered as unknowns. Excellent input and model parameter estimations are obtained, even for low order TAR models. © 2020, The Society for Experimental Mechanics, Inc.

Idioma original	Inglés
Título de la publicación alojada	Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020
Editores	Zhu Mao
Editorial	Springer
Páginas	83-86
Número de páginas	4
ISBN (versión impresa)	9783030487782
DOI	https://doi.org/10.1007/978-3-030-47638-0_9
Estado	Publicada - 2020
Evento	38th IMAC, A Conference and Exposition on Structural Dynamics, 2020 - Houston, Estados Unidos Duración: 10 feb. 2020 → 13 feb. 2020

Serie de la publicación

Nombre	Conference Proceedings of the Society for Experimental Mechanics Series
ISSN (versión impresa)	2191-5644
ISSN (versión digital)	2191-5652

Conferencia

Conferencia	38th IMAC, A Conference and Exposition on Structural Dynamics, 2020
País/Territorio	Estados Unidos
Ciudad	Houston
Período	10/02/20 → 13/02/20

Nota bibliográfica

Publisher Copyright:
© 2020, The Society for Experimental Mechanics, Inc.

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10.1007/978-3-030-47638-0_9

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Castiglione, J., Astroza, R., Azam, S. E., & Linzell, D. (2020). Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process. En Z. Mao (Ed.), Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020 (pp. 83-86). (Conference Proceedings of the Society for Experimental Mechanics Series). Springer. https://doi.org/10.1007/978-3-030-47638-0_9

Castiglione, Juan ; Astroza, Rodrigo ; Azam, Saeed Eftekhar et al. / Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process. Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020. editor / Zhu Mao. Springer, 2020. pp. 83-86 (Conference Proceedings of the Society for Experimental Mechanics Series).

@inproceedings{25033cdb512f46b3865b81e3f5f8612f,

title = "Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process",

abstract = "A novel approach to deal with nonlinear system identification of civil structures subjected to unmeasured excitations is presented. Using only sparse global dynamic structural response, mechanics-based nonlinear finite element (FE) model parameters and unmeasured inputs are estimated. Unmeasured inputs are represented by a time-varying autoregressive (TAR) model. Unknown FE model parameters and TAR model parameters are jointly estimated using an unscented Kalman filter. The proposed method is validated using numerically simulated data from a 3D steel frame subjected to seismic base excitation. Six material parameters and one component of the base excitation are considered as unknowns. Excellent input and model parameter estimations are obtained, even for low order TAR models.",

keywords = "Auto-regressive model, Finite element model, Input estimation, Kalman filter, Model updating",

author = "Juan Castiglione and Rodrigo Astroza and Azam, {Saeed Eftekhar} and Daniel Linzell",

note = "Publisher Copyright: {\textcopyright} 2020, The Society for Experimental Mechanics, Inc.; 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020 ; Conference date: 10-02-2020 Through 13-02-2020",

year = "2020",

doi = "10.1007/978-3-030-47638-0_9",

language = "English",

isbn = "9783030487782",

series = "Conference Proceedings of the Society for Experimental Mechanics Series",

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Castiglione, J, Astroza, R, Azam, SE & Linzell, D 2020, Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process. En Z Mao (ed.), Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020. Conference Proceedings of the Society for Experimental Mechanics Series, Springer, pp. 83-86, 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020, Houston, Estados Unidos, 10/02/20. https://doi.org/10.1007/978-3-030-47638-0_9

Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process. / Castiglione, Juan; Astroza, Rodrigo; Azam, Saeed Eftekhar et al.
Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020. ed. / Zhu Mao. Springer, 2020. p. 83-86 (Conference Proceedings of the Society for Experimental Mechanics Series).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process

AU - Castiglione, Juan

AU - Astroza, Rodrigo

AU - Azam, Saeed Eftekhar

AU - Linzell, Daniel

PY - 2020

Y1 - 2020

N2 - A novel approach to deal with nonlinear system identification of civil structures subjected to unmeasured excitations is presented. Using only sparse global dynamic structural response, mechanics-based nonlinear finite element (FE) model parameters and unmeasured inputs are estimated. Unmeasured inputs are represented by a time-varying autoregressive (TAR) model. Unknown FE model parameters and TAR model parameters are jointly estimated using an unscented Kalman filter. The proposed method is validated using numerically simulated data from a 3D steel frame subjected to seismic base excitation. Six material parameters and one component of the base excitation are considered as unknowns. Excellent input and model parameter estimations are obtained, even for low order TAR models.

AB - A novel approach to deal with nonlinear system identification of civil structures subjected to unmeasured excitations is presented. Using only sparse global dynamic structural response, mechanics-based nonlinear finite element (FE) model parameters and unmeasured inputs are estimated. Unmeasured inputs are represented by a time-varying autoregressive (TAR) model. Unknown FE model parameters and TAR model parameters are jointly estimated using an unscented Kalman filter. The proposed method is validated using numerically simulated data from a 3D steel frame subjected to seismic base excitation. Six material parameters and one component of the base excitation are considered as unknowns. Excellent input and model parameter estimations are obtained, even for low order TAR models.

KW - Auto-regressive model

KW - Finite element model

KW - Input estimation

KW - Kalman filter

KW - Model updating

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T3 - Conference Proceedings of the Society for Experimental Mechanics Series

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BT - Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020

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Castiglione J, Astroza R, Azam SE, Linzell D. Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process. En Mao Z, editor, Model Validation and Uncertainty Quantification, Volume 3 - Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics, 2020. Springer. 2020. p. 83-86. (Conference Proceedings of the Society for Experimental Mechanics Series). doi: 10.1007/978-3-030-47638-0_9

Output-Only Nonlinear Finite Element Model Updating Using Autoregressive Process

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