Efficient computation of frequency response for non-proportional damped systems

被引:1
|
作者
Wu, Baisheng [1 ]
Zhao, Xuqi [2 ]
Lim, C. W. [3 ]
Zhong, Huixiang [1 ]
机构
[1] Guangdong Univ Technol, Sch Electromech Engn, Guangzhou 510006, Peoples R China
[2] Jilin Normal Univ, Sch Math, Siping 136000, Peoples R China
[3] City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Tat Chee Ave, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive algorithm; Excitation frequency interval; Frequency response; Iteration; Non-proportional damping; HYBRID EXPANSION METHOD; TOPOLOGY OPTIMIZATION; MODE-ACCELERATION; SENSITIVITIES; REANALYSIS; ALGORITHM;
D O I
10.1016/j.engstruct.2022.114636
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Frequency response analysis is required in many structural dynamic applications. For large-scale problems, the cost of performing a frequency response analysis within a frequency interval of interest can be computationally very expensive and prohibitive, because the evaluation of the structural response for each excitation frequency requires solving a system with complex coefficients. For such purposes, a new method for the frequency response analysis of a non-proportional damped system in the frequency interval [0, omega(max)] is established. We first determine the lower-order modes in the interval [0, omega(max)/psi] and retain the quantity, where psi is an optional parameter which is greater than zero and less than 1. The default value of psi is set to 0.5. We then approximate the unknown higher-order mode contributions by using partial sums of the constructed convergent power series of excitation frequency. The number of items in the partial sum is determined adaptively by an iterative algorithm performed at omega(max). The resulting analytical expression for the frequency response is applied to the frequency interval [0, omega(max)]. Consequently, the frequency response analysis can be fulfilled simply by changing the excitation frequency in the analytical expression. Although the proposed method is derived based on the state space approach, its implementation is transformed to the original space to reduce the computational effort and storage space. The accuracy and effectiveness of the proposed method are illustrated and validated by two numerical examples.
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页数:9
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