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    Preposterior Analysis Considering Uncertainties and Dependencies of Information Relevant to Structural Performance

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 008 ):;issue: 001::page 04021085
    Author:
    Jianjun Qin
    DOI: 10.1061/AJRUA6.0001211
    Publisher: ASCE
    Abstract: A modified general framework of preposterior analysis is proposed here, which takes the uncertainties and dependencies associated with the information relevant to structural performance into account, to provide a sound basis for decision making. The information that we collect to update our knowledge of structural performance forms the core of preposterior analysis. It normally is not perfect and dependent on each other. Special emphasis is placed on the identification of the potential sources of uncertainties and dependencies of the information samples. The proposed framework is formulated with the consistent representation of such uncertainties and dependencies. The framework’s application is illustrated through an example of the update of the knowledge about the condition state of gas turbine engine components. The potential uncertainties and dependencies associated with future samples of the information relevant to the flaws of the engine components are presented, and further, their effects on the update of knowledge of the components’ state are investigated.
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      Preposterior Analysis Considering Uncertainties and Dependencies of Information Relevant to Structural Performance

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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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    contributor authorJianjun Qin
    date accessioned2022-05-07T20:40:01Z
    date available2022-05-07T20:40:01Z
    date issued2021-12-14
    identifier otherAJRUA6.0001211.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282731
    description abstractA modified general framework of preposterior analysis is proposed here, which takes the uncertainties and dependencies associated with the information relevant to structural performance into account, to provide a sound basis for decision making. The information that we collect to update our knowledge of structural performance forms the core of preposterior analysis. It normally is not perfect and dependent on each other. Special emphasis is placed on the identification of the potential sources of uncertainties and dependencies of the information samples. The proposed framework is formulated with the consistent representation of such uncertainties and dependencies. The framework’s application is illustrated through an example of the update of the knowledge about the condition state of gas turbine engine components. The potential uncertainties and dependencies associated with future samples of the information relevant to the flaws of the engine components are presented, and further, their effects on the update of knowledge of the components’ state are investigated.
    publisherASCE
    titlePreposterior Analysis Considering Uncertainties and Dependencies of Information Relevant to Structural Performance
    typeJournal Paper
    journal volume8
    journal issue1
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0001211
    journal fristpage04021085
    journal lastpage04021085-8
    page8
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2021:;Volume ( 008 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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