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    Condition Assessment of Existing RC Highway Bridges in China Based on SIE2011

    Source: Journal of Bridge Engineering:;2014:;Volume ( 019 ):;issue: 012
    Author:
    Hui-Bing
    ,
    Xie
    ,
    Yuan-Feng
    ,
    Wang
    ,
    Han-Liang
    ,
    Wu
    ,
    Zheng
    ,
    Li
    DOI: 10.1061/(ASCE)BE.1943-5592.0000633
    Publisher: American Society of Civil Engineers
    Abstract: Subjective or inaccurate condition assessment is the most critical technical barrier to effective management of highway bridges. In 2011, the promulgation of the specification for the inspection and evaluation of the load-bearing capacities of highway bridges (SIE2011) in China promoted quantitative evaluation of Chinese highway bridges, but a series of empirical coefficients of load-bearing capacity needs to be calibrated to determine the deterioration of material strength and rigidity of bridge cross sections in such evaluations. In this paper, the coefficients are integrated into the performance function used to determine the flexural limit state of highway bridges, and a Monte Carlo sampling method is used to calculate the reliability indices of existing RC simply supported T-beam highway bridges and to predict the probability of failure of the existing highway bridges in each condition state and at each age. Based on statistical data from 1,228 bridges constructed between 1978 and 2008 in Beijing, predictions of the distribution of condition states for the bridges during 2015–2080 were made. Based on a case study of a highway bridge built in 1978, the inspection results and calculated reliability for the bridge are compared to validate the rationality of the coefficients specified in SIE2011.
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      Condition Assessment of Existing RC Highway Bridges in China Based on SIE2011

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/72204
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    • Journal of Bridge Engineering

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    contributor authorHui-Bing
    contributor authorXie
    contributor authorYuan-Feng
    contributor authorWang
    contributor authorHan-Liang
    contributor authorWu
    contributor authorZheng
    contributor authorLi
    date accessioned2017-05-08T22:08:35Z
    date available2017-05-08T22:08:35Z
    date copyrightDecember 2014
    date issued2014
    identifier other32689409.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/72204
    description abstractSubjective or inaccurate condition assessment is the most critical technical barrier to effective management of highway bridges. In 2011, the promulgation of the specification for the inspection and evaluation of the load-bearing capacities of highway bridges (SIE2011) in China promoted quantitative evaluation of Chinese highway bridges, but a series of empirical coefficients of load-bearing capacity needs to be calibrated to determine the deterioration of material strength and rigidity of bridge cross sections in such evaluations. In this paper, the coefficients are integrated into the performance function used to determine the flexural limit state of highway bridges, and a Monte Carlo sampling method is used to calculate the reliability indices of existing RC simply supported T-beam highway bridges and to predict the probability of failure of the existing highway bridges in each condition state and at each age. Based on statistical data from 1,228 bridges constructed between 1978 and 2008 in Beijing, predictions of the distribution of condition states for the bridges during 2015–2080 were made. Based on a case study of a highway bridge built in 1978, the inspection results and calculated reliability for the bridge are compared to validate the rationality of the coefficients specified in SIE2011.
    publisherAmerican Society of Civil Engineers
    titleCondition Assessment of Existing RC Highway Bridges in China Based on SIE2011
    typeJournal Paper
    journal volume19
    journal issue12
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)BE.1943-5592.0000633
    treeJournal of Bridge Engineering:;2014:;Volume ( 019 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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