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针对极值风浪荷载之间的相关性,提出了一种基于Nataf变换的相关非高斯分布随机数算法,用来生成极值风浪荷载随机向量;运用该方法讨论了基于独立风浪的荷载效应和基于相关风浪的荷载效应的极值之间的关系,并且对不同的风浪联合荷载效应的拟合方法进行了评定;应用最小二乘法及极值Ⅰ型分布拟合实际风、浪荷载效应,然后对此分布模型运用Nataf变换随机数算法和一般随机数算法生成随机向量,最后通过与实际风浪联合荷载效应比较,验证了所提方法的有效性。
Aiming at the relativity between extreme wind and wave loads, a non-Gaussian distributed random number algorithm based on Nataf transform is proposed to generate the extreme value stochastic wind and wave loading vector. The load effect based on independent storms and the The relationship between the extreme value of the load effect of the related wind and wave, and the fitting method of the different combined effects of the wind and wave were evaluated. The least square method and the extremum type Ⅰ distribution were used to fit the actual wind and wave load effects. This distribution model uses Nataf transform random number algorithm and general random number algorithm to generate random vectors. Finally, the effectiveness of the proposed method is verified by comparison with the actual load-bearing effect of wind and waves.