Probabilistic Seismic Assessment of CoSPSW Structures Using Fragility Functions

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This article presents a study on the probabilistic assessment of the seismic performance and vulnerability of corrugated steel plate shear walls (CoSPSWs) using fragility functions.

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17 p.

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Tan, Zhilun; Zhao, Quihong; Zhao, Yu & Yu, Cheng June 18, 2022.

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This article presents a study on the probabilistic assessment of the seismic performance and vulnerability of corrugated steel plate shear walls (CoSPSWs) using fragility functions.

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17 p.

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Abstract: The corrugated steel plate shear wall (CoSPSW) is a new type of steel plate shear wall, in which corrugated wall plates instead of flat wall plates are adopted. The lateral stiffness and shear buckling capacity of the shear wall system could be significantly enhanced, and then, wall plate buckling under gravity loads would be mitigated. This paper presents a study on the probabilistic assessment of the seismic performance and vulnerability of CoSPSWs using fragility functions. The damage states and corresponding repair states of CoSPSWs were first established from experimental data. Then, incremental dynamic analyses were conducted on the CoSPSW structures. The structural and nonstructural fragility functions were developed, based on which the seismic performance and vulnerability of the CoSPSWs were obtained and compared with the conventional steel plate shear walls (SPSWs). It was shown that for various repair states, the 25th percentile PGA of the CoSPSW was always higher than the SPSWs with the same wall thickness and boundary frame, which indicated that the CoSPSW has a lower damage potential and better seismic performance than the SPSW.

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  • Metals, 12(6), MDPI, June 18, 2022, pp. 1-17

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  • Publication Title: Metals
  • Volume: 12
  • Issue: 6
  • Article Identifier: 1045
  • Peer Reviewed: Yes

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  • June 18, 2022

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  • Aug. 26, 2022, 12:08 p.m.

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  • Dec. 12, 2023, 2:10 p.m.

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Tan, Zhilun; Zhao, Quihong; Zhao, Yu & Yu, Cheng. Probabilistic Seismic Assessment of CoSPSW Structures Using Fragility Functions, article, June 18, 2022; [Basel, Switzerland]. (https://digital.library.unt.edu/ark:/67531/metadc1984190/: accessed May 29, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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