Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems

Felipe Mizon; Matías Birrell; José Abell; Rodrigo Astroza

doi:10.1007/978-3-030-93236-7_30

Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems

Felipe Mizon, Matías Birrell, José Abell, Rodrigo Astroza^*

^*Autor correspondiente de este trabajo

Universidad de los Andes

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

Resumen

This paper presents a method to update linear time-variant finite element (FE) models of civil structures experiencing nonlinear behavior due to earthquake excitation. First, the time-varying modal parameters of the structure are identified using the input–output dynamic data recorded during a damaging seismic event by employing a short-time windowing approach. Then, the identified modal parameters are used to update a linear FE model of the structure using a Bayesian approach. Global sensitivity analysis based on Sobol’ indices is employed to select the most influential parameters for the model updating stage. The evolution of the equivalent stiffness of different elements of the FE model are tracked and their estimation uncertainties are also quantified. The method is verified using numerically simulated data of a two-dimensional nonlinear FE model of a nine-story steel frame.

Idioma original	Inglés
Título de la publicación alojada	Lecture Notes in Civil Engineering
Editores	Zhishen Wu, Tomonori Nagayama, Ji Dang, Rodrigo Astroza
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	349-363
Número de páginas	15
ISBN (versión impresa)	9783030932350
DOI	https://doi.org/10.1007/978-3-030-93236-7_30
Estado	Publicada - 2023
Evento	9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021 - Virtual, Online Duración: 17 sep. 2021 → 20 sep. 2021

Serie de la publicación

Nombre	Lecture Notes in Civil Engineering
Volumen	224

Conferencia

Conferencia	9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021
Ciudad	Virtual, Online
Período	17/09/21 → 20/09/21

Nota bibliográfica

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Palabras clave

System identification
Model updating
Damage
Modal properties

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10.1007/978-3-030-93236-7_30

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Mizon, F., Birrell, M., Abell, J., & Astroza, R. (2023). Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems. En Z. Wu, T. Nagayama, J. Dang, & R. Astroza (Eds.), Lecture Notes in Civil Engineering (pp. 349-363). (Lecture Notes in Civil Engineering; Vol. 224). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-93236-7_30

Mizon, Felipe ; Birrell, Matías ; Abell, José et al. / Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems. Lecture Notes in Civil Engineering. editor / Zhishen Wu ; Tomonori Nagayama ; Ji Dang ; Rodrigo Astroza. Springer Science and Business Media Deutschland GmbH, 2023. pp. 349-363 (Lecture Notes in Civil Engineering).

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abstract = "This paper presents a method to update linear time-variant finite element (FE) models of civil structures experiencing nonlinear behavior due to earthquake excitation. First, the time-varying modal parameters of the structure are identified using the input–output dynamic data recorded during a damaging seismic event by employing a short-time windowing approach. Then, the identified modal parameters are used to update a linear FE model of the structure using a Bayesian approach. Global sensitivity analysis based on Sobol{\textquoteright} indices is employed to select the most influential parameters for the model updating stage. The evolution of the equivalent stiffness of different elements of the FE model are tracked and their estimation uncertainties are also quantified. The method is verified using numerically simulated data of a two-dimensional nonlinear FE model of a nine-story steel frame.",

keywords = "Damage, Modal properties, Model updating, System identification, System identification, Model updating, Damage, Modal properties",

author = "Felipe Mizon and Mat{\'i}as Birrell and Jos{\'e} Abell and Rodrigo Astroza",

note = "Funding Information: Acknowledgements The authors acknowledge the financial support from the Chilean National Agency for Research and Development (ANID), through FONDECYT research grant No. 1200277. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021 ; Conference date: 17-09-2021 Through 20-09-2021",

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doi = "10.1007/978-3-030-93236-7_30",

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Mizon, F, Birrell, M, Abell, J & Astroza, R 2023, Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems. En Z Wu, T Nagayama, J Dang & R Astroza (eds.), Lecture Notes in Civil Engineering. Lecture Notes in Civil Engineering, vol. 224, Springer Science and Business Media Deutschland GmbH, pp. 349-363, 9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021, Virtual, Online, 17/09/21. https://doi.org/10.1007/978-3-030-93236-7_30

Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems. / Mizon, Felipe; Birrell, Matías; Abell, José et al.
Lecture Notes in Civil Engineering. ed. / Zhishen Wu; Tomonori Nagayama; Ji Dang; Rodrigo Astroza. Springer Science and Business Media Deutschland GmbH, 2023. p. 349-363 (Lecture Notes in Civil Engineering; Vol. 224).

Producción científica: Capítulo del libro/informe/acta de congreso › Capítulo › revisión exhaustiva

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AU - Mizon, Felipe

AU - Birrell, Matías

AU - Abell, José

AU - Astroza, Rodrigo

N1 - Funding Information: Acknowledgements The authors acknowledge the financial support from the Chilean National Agency for Research and Development (ANID), through FONDECYT research grant No. 1200277. Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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N2 - This paper presents a method to update linear time-variant finite element (FE) models of civil structures experiencing nonlinear behavior due to earthquake excitation. First, the time-varying modal parameters of the structure are identified using the input–output dynamic data recorded during a damaging seismic event by employing a short-time windowing approach. Then, the identified modal parameters are used to update a linear FE model of the structure using a Bayesian approach. Global sensitivity analysis based on Sobol’ indices is employed to select the most influential parameters for the model updating stage. The evolution of the equivalent stiffness of different elements of the FE model are tracked and their estimation uncertainties are also quantified. The method is verified using numerically simulated data of a two-dimensional nonlinear FE model of a nine-story steel frame.

AB - This paper presents a method to update linear time-variant finite element (FE) models of civil structures experiencing nonlinear behavior due to earthquake excitation. First, the time-varying modal parameters of the structure are identified using the input–output dynamic data recorded during a damaging seismic event by employing a short-time windowing approach. Then, the identified modal parameters are used to update a linear FE model of the structure using a Bayesian approach. Global sensitivity analysis based on Sobol’ indices is employed to select the most influential parameters for the model updating stage. The evolution of the equivalent stiffness of different elements of the FE model are tracked and their estimation uncertainties are also quantified. The method is verified using numerically simulated data of a two-dimensional nonlinear FE model of a nine-story steel frame.

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KW - Modal properties

KW - Model updating

KW - System identification

KW - Model updating

KW - Damage

KW - Modal properties

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A2 - Nagayama, Tomonori

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Y2 - 17 September 2021 through 20 September 2021

ER -

Probabilistic Time-Variant Linear Finite Element Model Updating for Nonlinear Structural Systems

Resumen

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Conferencia

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Palabras clave

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