Digital Generation of Non‐Gaussian Stochastic Fields
Digital Generation of Non‐Gaussian Stochastic Fields
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DOI：
10.1061/(asce)0733-9399(1988)114:7(1183
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发表时间：
1988-07
期刊：
影响因子：
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通讯作者：
F. Yamazaki;M. Shinozuka
中科院分区：
文献类型：
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作者：
F. Yamazaki;M. Shinozuka
提出了一种生成多维非高斯齐次随机场样本场的方法。该方法首先生成高斯样本场，然后借助迭代过程将其映射到非高斯样本场。数值算例表明，该方法是非常有效的，生成的样本场精确地满足目标谱密度和概率分布函数。所提出的方法具有广泛的适用性，工程问题，涉及随机领域的高斯假设是不合适的。
A method by which sample fields of a multidimensional non‐Gaussian homogeneous stochastic field can be generated is developed. The method first generates Gaussian sample fields and then maps them into non‐Gaussian sample fields with the aid of an iterative procedure. Numerical examples indicate that the procedure is very efficient and generated sample fields satisfy the target spectral density and probability distribution function accurately. The proposed method has a wide range of applicability to engineering problems involving stochastic fields where the Gaussian assumption is not appropriate.