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    Seismic Risk Assessment of a Novel Bridge-Aqueduct Cobuilt Structure

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2022:;Volume ( 008 ):;issue: 003::page 04022022
    Author:
    Zhihua Xiong
    ,
    Houda Zhu
    ,
    Wenwen Li
    ,
    Aijun Zhang
    ,
    Haohui Xin
    DOI: 10.1061/AJRUA6.0001245
    Publisher: ASCE
    Abstract: A seismic risk assessment is a guarantee to keep the integrity of the infrastructure under an uncertain earthquake action. This paper carried out seismic risk assessment of a novel bridge-aqueduct cobuilt structure (BACS) under uncertain parameters, and the vulnerability was evaluated by the fragility of the pier and waterproof plate. The drift rate of the pier and the crack width ratio of the waterproof plate were defined as the damage index of the fragility curves. A back propagation (BP) neural network model was constructed, and the fragility data of the two simulated components were grouped into training and testing. The average deviation of the two models was within 5%, which can provide a methodology for BACS seismic risk assessment under other conditions.
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      Seismic Risk Assessment of a Novel Bridge-Aqueduct Cobuilt Structure

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4286816
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorZhihua Xiong
    contributor authorHouda Zhu
    contributor authorWenwen Li
    contributor authorAijun Zhang
    contributor authorHaohui Xin
    date accessioned2022-08-18T12:33:47Z
    date available2022-08-18T12:33:47Z
    date issued2022/04/27
    identifier otherAJRUA6.0001245.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286816
    description abstractA seismic risk assessment is a guarantee to keep the integrity of the infrastructure under an uncertain earthquake action. This paper carried out seismic risk assessment of a novel bridge-aqueduct cobuilt structure (BACS) under uncertain parameters, and the vulnerability was evaluated by the fragility of the pier and waterproof plate. The drift rate of the pier and the crack width ratio of the waterproof plate were defined as the damage index of the fragility curves. A back propagation (BP) neural network model was constructed, and the fragility data of the two simulated components were grouped into training and testing. The average deviation of the two models was within 5%, which can provide a methodology for BACS seismic risk assessment under other conditions.
    publisherASCE
    titleSeismic Risk Assessment of a Novel Bridge-Aqueduct Cobuilt Structure
    typeJournal Article
    journal volume8
    journal issue3
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0001245
    journal fristpage04022022
    journal lastpage04022022-7
    page7
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2022:;Volume ( 008 ):;issue: 003
    contenttypeFulltext
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