A High Order Symplectic Algorithm Based on Weighted Residual Method
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A High Order Symplectic Algorithm Based on Weighted Residual Method
Acta Scientiarum Naturalium Universitatis SunYatseniVol. 54, Issue 4, Pages: 8-12(2015)
作者机构:
1. 中山大学工学院,广东,广州,510275
2.
作者简介:
基金信息:
DOI:
CLC:
Published:2015,
Published Online:25 August 2015,
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LU Kelang, FU Minghui, LI Weihua, et al. A High Order Symplectic Algorithm Based on Weighted Residual Method. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(4):8-12(2015)
DOI:
LU Kelang, FU Minghui, LI Weihua, et al. A High Order Symplectic Algorithm Based on Weighted Residual Method. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 54(4):8-12(2015)DOI:
A High Order Symplectic Algorithm Based on Weighted Residual Method
A new way to construct high order symplectic algorithms is proposed based on weighted residual method. Firstly
in the time subdomain
the corresponding integral equation of Galerkin method for Hamilton dual equation based on the idea of weighted residual method is proposed
then the generalized displacement and momentum are approximated by the same Lagrange interpolation within the time subdomain
which are substituted into the corresponding integral equation. By numerical integration
the original initial value problem of dynamics is expressed as algebraic equations with displacement and momentum at the interpolation points as unknown variables. For nonlinear dynamic systems
a simple scheme of choosing initial values
which can significantly improve the computational efficiency for NewtonRaphson method
is presented. Finally
the symplecticity and performance of the proposed algorithms are discussed in detail. Compared with the same order symplectic RungeKutta methods
the accuracy of the two methods are almost the same
but the proposed algorithms are much simpler and less computational expense. The numerical results illustrate that the proposed algorithms show good performance in accuracy and efficiency.
关键词
哈密顿系统加权残值法非线性动力学伽辽金法辛算法
Keywords
Hamilton systemweighted residual methodnonlinear dynamicsGalerkin methodsymplectic algorithm