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    Multimodel Structural Performance Monitoring

    Source: Journal of Structural Engineering:;2010:;Volume ( 136 ):;issue: 010
    Author:
    James-A. Goulet
    ,
    Prakash Kripakaran
    ,
    Ian F. C. Smith
    DOI: 10.1061/(ASCE)ST.1943-541X.0000232
    Publisher: American Society of Civil Engineers
    Abstract: Measurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is an inverse engineering task, many models may fit measured behavior. Traditional model updating methods may not provide the correct behavioral model due to uncertainty and parameter compensation. In this paper, a multimodel approach that explicitly incorporates uncertainties and modeling assumptions is described. The approach samples thousands of models starting from a general parametrized finite-element model. The population of selected candidate models may be used to understand and predict behavior, thereby improving structural management decision making. This approach is applied to measurements from structural performance monitoring of the Langensand Bridge in Lucerne, Switzerland. Predictions from the set of candidate models are homogenous and show an average discrepancy of 4–7% from the displacement measurements. The tests demonstrate the applicability of the multimodel approach for the structural identification and performance monitoring of real structures. The multimodel approach reveals that the Langensand Bridge has a reserve capacity of 30% with respect to serviceability requirements.
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      Multimodel Structural Performance Monitoring

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    http://yetl.yabesh.ir/yetl1/handle/yetl/68123
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    contributor authorJames-A. Goulet
    contributor authorPrakash Kripakaran
    contributor authorIan F. C. Smith
    date accessioned2017-05-08T21:59:09Z
    date available2017-05-08T21:59:09Z
    date copyrightOctober 2010
    date issued2010
    identifier other%28asce%29st%2E1943-541x%2E0000271.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/68123
    description abstractMeasurements from load tests may lead to numerical models that better reflect structural behavior. This kind of system identification is not straightforward due to important uncertainties in measurement and models. Moreover, since system identification is an inverse engineering task, many models may fit measured behavior. Traditional model updating methods may not provide the correct behavioral model due to uncertainty and parameter compensation. In this paper, a multimodel approach that explicitly incorporates uncertainties and modeling assumptions is described. The approach samples thousands of models starting from a general parametrized finite-element model. The population of selected candidate models may be used to understand and predict behavior, thereby improving structural management decision making. This approach is applied to measurements from structural performance monitoring of the Langensand Bridge in Lucerne, Switzerland. Predictions from the set of candidate models are homogenous and show an average discrepancy of 4–7% from the displacement measurements. The tests demonstrate the applicability of the multimodel approach for the structural identification and performance monitoring of real structures. The multimodel approach reveals that the Langensand Bridge has a reserve capacity of 30% with respect to serviceability requirements.
    publisherAmerican Society of Civil Engineers
    titleMultimodel Structural Performance Monitoring
    typeJournal Paper
    journal volume136
    journal issue10
    journal titleJournal of Structural Engineering
    identifier doi10.1061/(ASCE)ST.1943-541X.0000232
    treeJournal of Structural Engineering:;2010:;Volume ( 136 ):;issue: 010
    contenttypeFulltext
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