岩土工程学报2011，Vol.33Issue(6)：916-920,5.
边坡可靠度分析的高斯过程方法
Gaussian process method for slope reliability analysis
摘要
Abstract
Considering the limitation of conventional methods, a new method for slope reliability analysis is proposed combined with the Gaussian process (GP) and importance sampling method (ISM).A small number of learning samples are built by the limit equilibrium method.The implicit performance function is reconstructed by the GP model based on statistical learning.Thus, the implicit performance and its derivatives in slope stability analysis are approximated by the GP model with explicit formulation.An iterative algorithm is presented to improve constantly the reconstructing precision at the important region, which contributes to the failure probability significantly.Then, the importance sampling method is employed to get reliability results of slope.The test results show that the proposed method is feasible and has high accuracy and efficiency.关键词
边坡/可靠度/重要抽样方法/高斯过程/机器学习Key words
slope/ reliability/ importance sampling method/ Gaussian process/ machine learning分类
建筑与水利引用本文复制引用
苏国韶,肖义龙..边坡可靠度分析的高斯过程方法[J].岩土工程学报,2011,33(6):916-920,5.基金项目
国家自然科学基金项目(50809017) （50809017）
中国博士后科学基金面上及特别资助项目(20080440812,200902354) （20080440812,200902354）
