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A Framework for High-Fidelity and Efficient Collapse Fragility Estimation of Structures Using Cluster Analysis
A clustering-based framework that can select a smaller number of ground motions from the entire ground motion set for collapse fragility estimation of structures while preserving the accuracy is proposed in this study. The bisecting k-means clustering algorithm is applied to the feature space that we construct. The construction is done by using spectral acceleration over a certain period interval to obtain a small number of ground motions until the fragility curve converges. The efficiency and applicability of the proposed framework is successfully demonstrated through a generic set of single-degree-of-freedom systems and six moment-resisting frame buildings having from 1 to 20 stories. The results indicate that collapse fragilities estimated by a smaller number of ground motions selected by using the proposed framework converge to a near optimal value.
A Framework for High-Fidelity and Efficient Collapse Fragility Estimation of Structures Using Cluster Analysis
A clustering-based framework that can select a smaller number of ground motions from the entire ground motion set for collapse fragility estimation of structures while preserving the accuracy is proposed in this study. The bisecting k-means clustering algorithm is applied to the feature space that we construct. The construction is done by using spectral acceleration over a certain period interval to obtain a small number of ground motions until the fragility curve converges. The efficiency and applicability of the proposed framework is successfully demonstrated through a generic set of single-degree-of-freedom systems and six moment-resisting frame buildings having from 1 to 20 stories. The results indicate that collapse fragilities estimated by a smaller number of ground motions selected by using the proposed framework converge to a near optimal value.
A Framework for High-Fidelity and Efficient Collapse Fragility Estimation of Structures Using Cluster Analysis
Liu, Bali (author) / Hu, Jinjun (author) / Liu, Yiheng (author)
Journal of Earthquake Engineering ; 28 ; 4749-4766
2024-12-09
18 pages
Article (Journal)
Electronic Resource
English
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