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    Analysis of Soil-Steel Bar Mat Pullout Models Using a Statistical Approach

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2015:;Volume ( 141 ):;issue: 005
    Author:
    Yan Yu
    ,
    Richard J. Bathurst
    DOI: 10.1061/(ASCE)GT.1943-5606.0001281
    Publisher: American Society of Civil Engineers
    Abstract: Steel bar mat is a common reinforcing material in mechanically stabilized earth (MSE) walls. The current method to calculate the pullout capacity of these materials is an empirical-based formulation found in AASHTO and Federal Highway Administration (FHWA) design guidance documents. The accuracy of the current formulation is evaluated using a large database of laboratory pullout tests including data that were not available at the time the current model was developed. A new model is proposed, and it is shown to have advantages over the current formulation particularly when pullout capacity design and analysis will be carried out in a load and resistance factor design (LRFD) framework. Calibration of the new model and quantitative comparisons of the accuracy of the two models are evaluated using statistical characteristics of bias values where bias is the ratio of measured pullout capacity to predicted pullout capacity. The accuracy of both models is evaluated for two cases: (1) when project-specific pullout data are not available (the typical case) and presumptive default coefficients must be used; and (2) when project-specific laboratory pullout box data are available. The influence on calibration outcomes of data sets corresponding to markedly different soils and test methodology is demonstrated in the paper. The data reported in the paper are a necessary precursor to future LRFD calibration of the pullout limit state in the internal stability design of bar mat reinforced soil walls.
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      Analysis of Soil-Steel Bar Mat Pullout Models Using a Statistical Approach

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    http://yetl.yabesh.ir/yetl1/handle/yetl/72607
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    contributor authorYan Yu
    contributor authorRichard J. Bathurst
    date accessioned2017-05-08T22:09:48Z
    date available2017-05-08T22:09:48Z
    date copyrightMay 2015
    date issued2015
    identifier other36385836.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/72607
    description abstractSteel bar mat is a common reinforcing material in mechanically stabilized earth (MSE) walls. The current method to calculate the pullout capacity of these materials is an empirical-based formulation found in AASHTO and Federal Highway Administration (FHWA) design guidance documents. The accuracy of the current formulation is evaluated using a large database of laboratory pullout tests including data that were not available at the time the current model was developed. A new model is proposed, and it is shown to have advantages over the current formulation particularly when pullout capacity design and analysis will be carried out in a load and resistance factor design (LRFD) framework. Calibration of the new model and quantitative comparisons of the accuracy of the two models are evaluated using statistical characteristics of bias values where bias is the ratio of measured pullout capacity to predicted pullout capacity. The accuracy of both models is evaluated for two cases: (1) when project-specific pullout data are not available (the typical case) and presumptive default coefficients must be used; and (2) when project-specific laboratory pullout box data are available. The influence on calibration outcomes of data sets corresponding to markedly different soils and test methodology is demonstrated in the paper. The data reported in the paper are a necessary precursor to future LRFD calibration of the pullout limit state in the internal stability design of bar mat reinforced soil walls.
    publisherAmerican Society of Civil Engineers
    titleAnalysis of Soil-Steel Bar Mat Pullout Models Using a Statistical Approach
    typeJournal Paper
    journal volume141
    journal issue5
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/(ASCE)GT.1943-5606.0001281
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2015:;Volume ( 141 ):;issue: 005
    contenttypeFulltext
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