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.
|Title of host publication||Lecture Notes in Civil Engineering|
|Editors||Zhishen Wu, Tomonori Nagayama, Ji Dang, Rodrigo Astroza|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||15|
|State||Published - 2023|
|Event||9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021 - Virtual, Online|
Duration: 17 Sep 2021 → 20 Sep 2021
|Name||Lecture Notes in Civil Engineering|
|Conference||9th International Conference on Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2021|
|Period||17/09/21 → 20/09/21|
Bibliographical noteFunding Information:
Acknowledgements The authors acknowledge the financial support from the Chilean National Agency for Research and Development (ANID), through FONDECYT research grant No. 1200277.
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Modal properties
- Model updating
- System identification