多变量非高斯脉动风压模拟的非迭代法

上海交通大学学报（自然版） ›› 2017, Vol. 51 ›› Issue (4): 462-.

多变量非高斯脉动风压模拟的非迭代法

李锦华1，李春祥2，蒋磊2，邓莹2

1. 华东交通大学土木建筑学院，南昌 330013； 2. 上海大学土木工程系，上海 200444

出版日期:2017-04-03 发布日期:2017-04-03
基金资助:
国家自然科学基金资助项目（51378304）

A Noniterative Approach for Simulating Multivariate NonGaussian#br# Fluctuating Wind Pressure

LI Jinhua1,LI Chunxiang2，JIANG Lei2,DENG Ying2

1. Department of Civil Engineering, East China Jiao Tong University, Nanchang 330013, China;
2. Department of Civil Engineering, Shanghai University, Shanghai 200444, China

Online:2017-04-03 Published:2017-04-03

摘要/Abstract

摘要：

基于多变量非高斯随机过程间的相关性，将发展的单变量非高斯过程的非迭代算法扩展至多变量非高斯过程的模拟.通过多变量高斯过程的相干函数来考虑多变量非高斯过程的互相关性，建立多变量非高斯过程的非迭代模拟算法.多变量非高斯风压的数值模拟表明：非迭代模拟算法能有效地模拟低、中、高斜度的多变量非高斯过程.

关键词: 多变量非高斯随机过程, 非高斯脉动风压, 相干函数, 非迭代, 斜度

Abstract:

Based on the correlativity of multivariate nonGaussian random processes, the proposed noniterative algorithm used for the univariate nonGaussian stochastic processes is expanded to simulate the multivariate nonGaussian processes. The coherency functions of underlying multivariate nonGaussian processes are dealt with by resorting to the correlativity of multivariate Gaussian processes, a noniteration based algorithm is developed for simulating the multivariate nonGaussian processes. The numerical simulations of the multivariate nonGaussian fluctuating wind pressure indicate that the noniteration based algorithms can effectively simulate the multivariate nonGaussian processes with low, middle, and high skewnesses, respectively.

Key words: multivariate nonGaussian random processes, nonGaussian fluctuating wind pressure, coherency functions, noniteration, skewness

中图分类号:

TU 311

李锦华1，李春祥2，蒋磊2，邓莹2. 多变量非高斯脉动风压模拟的非迭代法[J]. 上海交通大学学报（自然版）, 2017, 51(4): 462-.

LI Jinhua1,LI Chunxiang2，JIANG Lei2,DENG Ying2. A Noniterative Approach for Simulating Multivariate NonGaussian#br# Fluctuating Wind Pressure[J]. Journal of Shanghai Jiaotong University, 2017, 51(4): 462-.

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