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该文分别采用ＪＣ法以及Ｍｏｎｔｅ—Ｃａｒｌｏ方法中的随机投点法和重要抽样法来计算地基承载力失效概率和可靠度指标，结果表明采用改进的搜索适应重要抽样法具有很大的优越性。一方面，它能适应极限状态方程的非线性以及随机变量的非正态，另一方面，它克服了随机投点方法的突出缺点，减少了模拟计算次数，提高了抽样效率和计算精度。
In this paper, the JC method and Monte-Carlo method are used to calculate the failure probability and reliability index of foundation bearing capacity. The results show that the improved search adaptation to important sampling method has great advantages. On the one hand, it can adapt to the non-linearity of the limit state equation and the non-normality of the random variable. On the other hand, it overcomes the outstanding defects of the random casting method, reduces the number of simulation calculations, and improves the sampling efficiency and calculation accuracy.