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Efficient Analytical Fragility Function Fitting Using Dynamic Structural Analysis
Abstract
Estimation of fragility functions using dynamic structural analysis is an important step in a number of seismic assessment procedures. This paper discusses the applicability of statistical inference concepts for fragility function estimation, describes appropriate fitting approaches for use with various structural analysis strategies, and studies how to fit fragility functions while minimizing the required number of structural analyses. Illustrative results show that multiple stripe analysis produces more efficient fragility estimates than incremental dynamic analysis for a given number of structural analyses, provided that some knowledge of the building's capacity is available prior to analysis so that relevant portions of the fragility curve can be approximately identified. This finding has other benefits, given that the multiple stripe analysis approach allows for different ground motions to be used for analyses at varying intensity levels, to represent the differing characteristics of low‐intensity and high‐intensity shaking. The proposed assessment approach also provides a framework for evaluating alternate analysis procedures that may arise in the future.
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Cited by
Analytical fragility assessment using unscaled ground motion records
Jalayer, F., Ebrahimian, H., Miano, A., Manfredi, G., & Sezen, H. (2017) · Earthquake Engineering & Structural Dynamics · doi:10.1002/eqe.2922 · Cited by 317
On the application of machine learning techniques to derive seismic fragility curves
Kiani, J., Camp, C., & Pezeshk, S. (2019) · Computers & Structures · doi:10.1016/j.compstruc.2019.03.004 · Cited by 312
Statistical procedures for developing earthquake damage fragility curves
Lallemant, D., Kiremidjian, A., & Burton, H. (2015) · Earthquake Engineering & Structural Dynamics · doi:10.1002/eqe.2522 · Cited by 263
Architectural Technology Research Unit, D. O. A., Zain, M., Keawsawasvong, S., Department of Civil Engineering, T. S. O. E., Thongchom, C., Department of Civil Engineering, T. S. O. E., Sereewatthanawut, I., King Prajadhipok's Institute, B. 1., Usman, M., School of Civil and Environmental Engineering, N. U. O. S. A. T. (., et al. (2023) · Engineered Science · doi:10.30919/es1008 · Cited by 30
Metadata
- Authors
- Baker, J. W.
- Venue
- Earthquake Spectra
- Publisher
- Wiley
- Published
- 2015-02
- Volume
- 31
- Issue
- 1
- Pages
- 579-599
- ISSN
- 1944-8201 (ISSN-L)
- 8755-2930
- OpenAlex
- W2070238662
- Cited by
- 1,565
- References
- 0
- FWCI
- 84.36
- Type
- journal article
- Language
- en
- Open access
- closed
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