首页|Efficient slope reliability and sensitivity analysis using quantile-based first-order second-moment method
Efficient slope reliability and sensitivity analysis using quantile-based first-order second-moment method
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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.
Zhiyong Yang、Chengchuan Yin、Xueyou Li、Shuihua Jiang、Dianqing Li
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School of Civil Engineering,Sun Yat-Sen University,Zhuhai,China
Southern Marine Science and Engineering Guangdong Laboratory,Zhuhai,China
School of Infrastructure Engineering,Nanchang University,Nanchang,330031,China
State Key Laboratory of Water Resources and Hydropower Engineering Science,Institute of Engineering Risk and Disaster Prevention,Wuhan University,Wuhan,430072,China
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National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China
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维普
