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Fuzzy regression decision systems for assessment of the potential vulnerability of bridge to earthquakes

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  • Jeng-Wen Lin

Abstract

This paper presents an innovative fuzzy regression approach for the assessment of the potential vulnerability of bridge to earthquakes. Taking the Mao-Luo-Hsi Bridge in Nantou County of Taiwan as an example, structural models representing vulnerable sections of the bridge are established and updated by ambient vibration tests. Because of uncertainties in the structural models and ambient vibration data preprocessed by wavelet filtering, the fuzzy regression approach is adopted to synthesize the maximum displacements of the bridge sections so as to develop a bridge alert–action principle. The fuzzy regression model can be achieved by the fuzzy blending of each individual input–output realization for the critical sections D, E, and F of the bridge subjected to various earthquake intensity scales ranging from one to seven. Verification of the resulting fuzzy regression models along the longitudinal and transverse directions of the bridge reflects on the high R 2 values of the models being 0.7317 and 0.8401, respectively. The developed decision systems suggest that the action value can be determined for the location of the bridge site when the earthquake intensity reaches scale 6 corresponding to the maximum slopes of the resulting fuzzy regression curves, and the next one lower scale 5 refers the alert value. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Jeng-Wen Lin, 2012. "Fuzzy regression decision systems for assessment of the potential vulnerability of bridge to earthquakes," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 211-221, October.
    • Handle: RePEc:spr:nathaz:v:64:y:2012:i:1:p:211-221
    DOI: 10.1007/s11069-012-0230-5
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    References listed on IDEAS

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    1. Jeng-Wen Lin & Cheng-Wu Chen & Shang-Heng Chung, 2012. "Modeling and assessment of bridge structure for seismic hazard prevention," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1115-1126, April.
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    Cited by:

    1. Kuan-Tang Shen & Jeng-Wen Lin, 2017. "Delphi process applied to the 921 earthquake relief for damaged bridges in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 345-365, May.
    2. Yih-Ping Huang & Jeng-Wen Lin, 2013. "Interactive remote computations for retaining wall design and risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 66(2), pages 985-993, March.

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    1. Kuan-Tang Shen & Jeng-Wen Lin, 2017. "Delphi process applied to the 921 earthquake relief for damaged bridges in Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 345-365, May.

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