Probabilistic insights on a soil slope in San Francisco and a rock slope in Hong Kong
Probabilistic insights on a soil slope in San Francisco and a rock slope in Hong Kong
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DOI:
10.1080/17499518.2019.1606923
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发表时间:
2019-04
期刊:
影响因子:
--
通讯作者:
B. Low
中科院分区:
文献类型:
--
作者:
B. Low
ABSTRACT Two slopes are analysed probabilistically, emphasising the insights and sensitivity information obtainable from the design point of the first-order reliability method (FORM). The first case was an underwater slope in San Francisco Bay Mud that failed during excavation. The second case was a rock slope in Hong Kong which had been identified as being potentially unstable. Insights from FORM-based reliability analysis and reliability-based design (RBD) are presented, and RBD’s ability to overcome some of the limitations of partial factor design approaches are discussed.