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Fragility Analyses of Bridge Structures Using the Logarithmic Piecewise Function-Based Probabilistic Seismic Demand Model

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  • Yinghao Zhao

    (Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou 510440, China
    Department of Bridge and Tunnel Engineering, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China)

  • Hesong Hu

    (Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou 510440, China)

  • Lunhua Bai

    (Department of Bridge and Tunnel Engineering, School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China)

  • Mengxiong Tang

    (Guangzhou Municipal Construction Group Co., Ltd., Guangzhou 510030, China)

  • Hang Chen

    (Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou 510440, China)

  • Dingli Su

    (Guangzhou Institute of Building Science Group Co., Ltd., Guangzhou 510440, China)

Abstract

Seismic fragility analysis is an efficient method to evaluate the structural failure probability during earthquake events. Among the existing fragility analysis methods, the probabilistic seismic demand model (PSDM) and the joint probabilistic seismic demand model (JPSDM) are generally used to compute the component and system fragility, respectively. However, the statistical significance behind the parameters related to the current PSDM and JPSDM are not comparable. Aside from that, when calculating the system fragility, the Monte Carlo sampling (MCS) method is time-consuming. To solve the two flaws, in this paper, the logarithm piecewise functions were used to generate the PSDM and the JPSDM, and the MCS was replaced by the univariate conditioning approximation (UCA) method. The concepts and application procedures of the proposed fragility analysis methods were elaborated first. Then, the UCA method was illustrated in detail. Finally, fragility curves of a steel arch truss case study bridge were generated by the proposed method. The research results indicate the following: (1) the proposed methods unify the data sources and statistical significance of the parameters used in the PSDM and the JPSDM; (2) the logarithmic piecewise function-based PSDM sensitively reflects the changing trend of the component’s demand with the fluctuation of the seismic intensity measure; (3) under transverse seismic waves, major injuries happen on the side bearings of the bridge, while slight damage may occur on each pier, and as the seismic intensity measure increases, the side bearings are more likely to be damaged; (4) for the severe damage and the absolute damage of the studied bridge, the system fragility curves are closer to the upper failure bounds; and (5) compared with the MSC method, the accuracy of the UCA method can be guaranteed with less calculation time.

Suggested Citation

  • Yinghao Zhao & Hesong Hu & Lunhua Bai & Mengxiong Tang & Hang Chen & Dingli Su, 2021. "Fragility Analyses of Bridge Structures Using the Logarithmic Piecewise Function-Based Probabilistic Seismic Demand Model," Sustainability, MDPI, vol. 13(14), pages 1-23, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:7814-:d:593328
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    Cited by:

    1. Hamed Safayenikoo & Fatemeh Nejati & Moncef L. Nehdi, 2022. "Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    2. Hossein Moayedi & Peren Jerfi Canatalay & Atefeh Ahmadi Dehrashid & Mehmet Akif Cifci & Marjan Salari & Binh Nguyen Le, 2023. "Multilayer Perceptron and Their Comparison with Two Nature-Inspired Hybrid Techniques of Biogeography-Based Optimization (BBO) and Backtracking Search Algorithm (BSA) for Assessment of Landslide Susce," Land, MDPI, vol. 12(1), pages 1-25, January.
    3. Hossein Moayedi & Bao Le Van, 2022. "Feasibility of Harris Hawks Optimization in Combination with Fuzzy Inference System Predicting Heating Load Energy Inside Buildings," Energies, MDPI, vol. 15(23), pages 1-17, December.
    4. Hossein Moayedi & Bao Le Van, 2022. "The Applicability of Biogeography-Based Optimization and Earthworm Optimization Algorithm Hybridized with ANFIS as Reliable Solutions in Estimation of Cooling Load in Buildings," Energies, MDPI, vol. 15(19), pages 1-17, October.
    5. Hamzah Ali Alkhazaleh & Navid Nahi & Mohammad Hossein Hashemian & Zohreh Nazem & Wameed Deyah Shamsi & Moncef L. Nehdi, 2022. "Prediction of Thermal Energy Demand Using Fuzzy-Based Models Synthesized with Metaheuristic Algorithms," Sustainability, MDPI, vol. 14(21), pages 1-14, November.
    6. Tomoya Uenaga & Pedram Omidian & Riya Catherine George & Mohsen Mirzajani & Naser Khaji, 2023. "Seismic Resilience Assessment of Curved Reinforced Concrete Bridge Piers through Seismic Fragility Curves Considering Short- and Long-Period Earthquakes," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
    7. Loke Kok Foong & Binh Nguyen Le, 2022. "Teaching–Learning–Based Optimization (TLBO) in Hybridized with Fuzzy Inference System Estimating Heating Loads," Energies, MDPI, vol. 15(21), pages 1-20, November.
    8. Nadia Jahanafroozi & Saman Shokrpour & Fatemeh Nejati & Omrane Benjeddou & Mohammad Worya Khordehbinan & Afshin Marani & Moncef L. Nehdi, 2022. "New Heuristic Methods for Sustainable Energy Performance Analysis of HVAC Systems," Sustainability, MDPI, vol. 14(21), pages 1-14, November.

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