Structure-preserving model reduction for mechanical systems

被引:112
作者
Lall, S
Krysl, P
Marsden, JE [1 ]
机构
[1] CALTECH, Pasadena, CA 91125 USA
[2] Stanford Univ, Stanford, CA 94305 USA
[3] Univ Calif San Diego, Jacobs Sch Engn, Dept Struct Engn, La Jolla, CA 92093 USA
关键词
model reduction; Karhunen-Loeve expansion; balanced truncation; Lagrangian mechanics;
D O I
10.1016/S0167-2789(03)00227-6
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper focuses on methods of constructing of reduced-order models of mechanical systems which preserve the Lagrangian structure of the original system. These methods may be used in combination with standard spatial decomposition methods, such as the Karhunen-Loeve expansion, balancing, and wavelet decompositions. The model reduction procedure is implemented for three-dimensional finite-element models of elasticity, and we show that using the standard Newmark implicit integrator, significant savings are obtained in the computational costs of simulation. In particular simulation of the reduced model scales linearly in the number of degrees of freedom, and parallelizes well. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:304 / 318
页数:15
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