contributor author | Te Xiao | |
contributor author | Li-Min Zhang | |
contributor author | Xue-You Li | |
contributor author | Dian-Qing Li | |
date accessioned | 2017-12-16T09:08:53Z | |
date available | 2017-12-16T09:08:53Z | |
date issued | 2017 | |
identifier other | AJRUA6.0000924.pdf | |
identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4239185 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Probabilistic Stratification Modeling in Geotechnical Site Characterization | |
type | Journal Paper | |
journal volume | 3 | |
journal issue | 4 | |
journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
identifier doi | 10.1061/AJRUA6.0000924 | |
tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2017:;Volume ( 003 ):;issue: 004 | |
contenttype | Fulltext | |