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    Probabilistic Stratification Modeling in Geotechnical Site Characterization

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 004
    Author:
    Te Xiao
    ,
    Li-Min Zhang
    ,
    Xue-You Li
    ,
    Dian-Qing Li
    DOI: 10.1061/AJRUA6.0000924
    Publisher: American Society of Civil Engineers
    Abstract: Stratification in geologic profiles is one of the most significant uncertainties in geotechnical site characterization. In this paper, a three-level probabilistic framework is proposed for geotechnical stratification modeling considering stratigraphic uncertainty. The framework consists of model parameter identification, conditional simulation, and stratigraphic uncertainty quantification. Both boundary-based and category-based stratigraphic models are adopted in the framework, and a heuristic combination model is further recommended to combine the advantages of the boundary-based and category-based models. The geological stratification at a construction site in Hong Kong is characterized to illustrate the probabilistic framework. Results indicate that probabilistic stratification modeling quantifies stratigraphic uncertainty in a rigorous manner. Additionally, the heuristic combination model has the ability to generate almost arbitrary geotechnical strata and to account for material spatial distribution trends and engineering judgment to a certain degree.
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      Probabilistic Stratification Modeling in Geotechnical Site Characterization

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4239185
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    contributor authorTe Xiao
    contributor authorLi-Min Zhang
    contributor authorXue-You Li
    contributor authorDian-Qing Li
    date accessioned2017-12-16T09:08:53Z
    date available2017-12-16T09:08:53Z
    date issued2017
    identifier otherAJRUA6.0000924.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4239185
    description abstractStratification in geologic profiles is one of the most significant uncertainties in geotechnical site characterization. In this paper, a three-level probabilistic framework is proposed for geotechnical stratification modeling considering stratigraphic uncertainty. The framework consists of model parameter identification, conditional simulation, and stratigraphic uncertainty quantification. Both boundary-based and category-based stratigraphic models are adopted in the framework, and a heuristic combination model is further recommended to combine the advantages of the boundary-based and category-based models. The geological stratification at a construction site in Hong Kong is characterized to illustrate the probabilistic framework. Results indicate that probabilistic stratification modeling quantifies stratigraphic uncertainty in a rigorous manner. Additionally, the heuristic combination model has the ability to generate almost arbitrary geotechnical strata and to account for material spatial distribution trends and engineering judgment to a certain degree.
    publisherAmerican Society of Civil Engineers
    titleProbabilistic Stratification Modeling in Geotechnical Site Characterization
    typeJournal Paper
    journal volume3
    journal issue4
    journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
    identifier doi10.1061/AJRUA6.0000924
    treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 004
    contenttypeFulltext
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