On orthogonal polynomial approximation with the dimensional expanding technique for precise time integration in transient analysis

被引:4
作者
Huang, Yizhen [1 ,4 ]
Long, Yangjing [2 ,3 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Sch Elect Informat & Elect Engn, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, Dept Math, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Digital Media & Data Reconstruct Lab, Shanghai 200240, Peoples R China
[4] Shanghai ZiZhu Site, Graph Team Wireless Platform Engn, Cellular & Handheld Grp, Intel Asia Pacific Res & Dev Ltd, Shanghai, Peoples R China
关键词
Orthogonal polynomial approximation; Dimensional expanding technique; Precise time integration; Transient analysis;
D O I
10.1016/j.cnsns.2006.03.007
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We use four orthogonal polynomial series, Legendre, Chebyshev, Hermite and Laguerre series, to approximate the non-homogeneous term for the precise time integration and incorporate them with the dimensional expanding technique. They are applied to various structures subjected to transient dynamic loading together with Fourier and Taylor approximation proposed in previous works. Numerical examples show that all six methods are efficient and have reasonable precision. In particular, Legendre approximation has much higher precision and better convergence; Chebyshev approximation is also good, but only slightly inferior to Legendre approximation. The other four approximation methods usually produce results with errors hundreds of thousands of times larger. Hermite and Laguerre approximation may be useful for some special non-homogeneous terms, but do not work sufficiently well in our numerical examples. Other contributions of this paper include, a Dynamic Programming scheme for computing series coefficients, a general formula to find the assistant matrix for any polynomial series. (C) 2006 Elsevier B. V. All rights reserved.
引用
收藏
页码:1584 / 1603
页数:20
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