提出一种基于 Rosenblatt变换的一阶可靠度分析方法 ,该方法对 Rosenblatt变换进行了分解 ,首先把相关非正态分布变量经过映射变换转变成相关正态分布变量 ;然后经过正交变换转变成独立标准正态分布变量 .经此分解后 ,该方法不仅克服了实现条件比较苛刻的限制 ,适用于随机变量的任何分布形式以及具有收敛速度快的特点 ,而且能够大大地减少运算量 ,给计算和编程带来方便 . A first-order reliability analysis method based on Rosenblatt transform is proposed, which decomposes the Rosenblatt transform. First, the related non-normal distribution variables are transformed into related normal distribution variables through mapping transformation, and then transformed into independent via orthogonal transformation Standard normal distributed variables.After this decomposition, this method not only overcomes the more restrictive conditions, but also applies to any distribution of random variables and has the characteristics of fast convergence, and can greatly reduce the computational complexity Programming brings convenience.