本文提出了一种用蒙特卡罗法对路面不平度函数进行抽样的方法，只对相位随机抽样。
In this paper, the Monte Carlo method which only samples the phase is used to produce road surface irregularity.
为了减少随机抽样的次数并保证蒙特卡罗法的数值模拟精度，对比引入了重要抽样法和拉丁超立方体抽样方法；
To reduce sampling number and assure simulation precision, Importance Sampling method and Latin Hypercube Sampling method are coupled with Neumann expansion SFEM respectively.
因此对于组合信用风险的度量，使用重要抽样方法要优于简单蒙特卡罗方法。
Considering the portfolios credit risk measurement, the use of importance sampling method is superior to crude Monte Carlo method.
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