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为有效求解边坡可靠度,本文采用LHS(拉丁超立方)抽样提出了基于RSM(响应面法)数据表的边坡可靠度计算模型。考虑影响边坡稳定性的主要强度参数c、φ的不确定性,采用LHS抽样构建RSM随机样本点,借助岩土工程极限平衡的slide程序获取样本响应值;通过将数据表法与RSM结合求解边坡可靠指标及失效概率。以Monte Carlo法计算结果作为可靠性分析的基准解,并与基本二层土模型和托巴110kV施工变电站边坡计算结果进行对比分析:此方法不仅精度满足要求,且计算量较小效率高,对实际工程边坡可靠度分析具有一定指导意义。
In order to effectively solve the slope reliability, this paper presents a calculation model of slope reliability based on RSM (Response Surface Method) data using LHS (Latin Hypercube) sampling. Considering the uncertainty of the main strength parameters c and φ that affect the stability of the slope, random sample points of RSM are constructed by LHS sampling, and the sample response value is obtained by the slide program with limit equilibrium of geotechnical engineering. By combining data table method with RSM Slope reliability index and failure probability. The results of Monte Carlo method are taken as the reference solution for reliability analysis and compared with the calculated results of the basic two-layer soil model and the 110-kV substation slope of Tohba. The method not only meets the requirements with high accuracy, It has certain guiding significance for the reliability analysis of actual engineering slope.