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作 者:Zhiyong Yang Chengchuan Yin Xueyou Li Shuihua Jiang Dianqing Li
机构地区:[1]School of Civil Engineering,Sun Yat-Sen University,Zhuhai,China [2]Southern Marine Science and Engineering Guangdong Laboratory,Zhuhai,China [3]School of Infrastructure Engineering,Nanchang University,Nanchang,330031,China [4]State Key Laboratory of Water Resources and Hydropower Engineering Science,Institute of Engineering Risk and Disaster Prevention,Wuhan University,Wuhan,430072,China
出 处:《Journal of Rock Mechanics and Geotechnical Engineering》2024年第10期4192-4203,共12页岩石力学与岩土工程学报(英文)
基 金:supported by the National Natural Science Foundation of China(Grant Nos.52109144,52025094 and 52222905).
摘 要:This paper introduces a novel approach for parameter sensitivity evaluation and efficient slope reliability analysis based on quantile-based first-order second-moment method(QFOSM).The core principles of the QFOSM are elucidated geometrically from the perspective of expanding ellipsoids.Based on this geometric interpretation,the QFOSM is further extended to estimate sensitivity indices and assess the significance of various uncertain parameters involved in the slope system.The proposed method has the advantage of computational simplicity,akin to the conventional first-order second-moment method(FOSM),while providing estimation accuracy close to that of the first-order reliability method(FORM).Its performance is demonstrated with a numerical example and three slope examples.The results show that the proposed method can efficiently estimate the slope reliability and simultaneously evaluate the sensitivity of the uncertain parameters.The proposed method does not involve complex optimization or iteration required by the FORM.It can provide a valuable complement to the existing approximate reliability analysis methods,offering rapid sensitivity evaluation and slope reliability analysis.
关 键 词:Slope reliability Sensitivity analysis QUANTILE First-order second-moment method(FOSM) First-order reliability method(FORM)
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