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谐波合成法模拟随机风场的优化算法
引用本文:罗俊杰,韩大建. 谐波合成法模拟随机风场的优化算法[J]. 华南理工大学学报(自然科学版), 2007, 35(7): 105-109
作者姓名:罗俊杰  韩大建
作者单位:华南理工大学,建筑学院,广东,广州,510640;华南理工大学,建筑学院,广东,广州,510640
基金项目:广东省广州市科技攻关项目
摘    要:为解决传统谐波合成法模拟多变量随机脉动风场效率低下的问题,首先将互谱密度函数矩阵分块,然后采用递归优化算法进行矩阵的Cholesky分解,同时引入矩阵乘法算法来代替传统算法的叠加过程,从而减少了互谱密度矩阵中元素生成的数量,加快了矩阵分解和脉动风场合成的速度.工程实例表明,上述优化算法可有效减少整个模拟过程的计算时间,提高模拟效率.

关 键 词:随机风场  优化  算法  数值模拟  矩阵分块
文章编号:1000-565X(2007)07-0105-05
修稿时间:2006-09-04

Optimized Algorithm of Wave Superposition Method to Simulate Stochastic Wind Field
Luo Jun-jie,Han Da-jian. Optimized Algorithm of Wave Superposition Method to Simulate Stochastic Wind Field[J]. Journal of South China University of Technology(Natural Science Edition), 2007, 35(7): 105-109
Authors:Luo Jun-jie  Han Da-jian
Affiliation:School of Architecture and Civil Engineering, South China Univ. of Tech. , Guangzhou 510640, Guangdong, China
Abstract:In order to improve the efficiency of the conventional wave superposition method in simulating the multi-variable stochastic wind fields,an optimized recursive algorithm is employed to conduct the Cholesky factorization by blocking the cross-spectral density function matrix into several sub-matrices,and a matrix multiplication algorithm is introduced to replace the harmonic superposition process of the conventional method.Thus,the number of the elements for the factorization in the cross-spectral density matrix is reduced and the Cholesky factorization and the wind field synthesis are speeded up.The engineering practice indicates that the proposed optimized algorithm remarkably saves the simulation time and improves the simulation efficiency.
Keywords:stochastic wind field  optimization  algorithm  numerical simulation  matrix blocking
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