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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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