Accurate numerical solutions of 2-D elastodynamics problems using compact high-order stencils

被引:15
|
作者
Idesman, A. [1 ]
Dey, B. [1 ]
机构
[1] Texas Tech Univ, Dept Mech Engn, Lubbock, TX 79409 USA
关键词
Numerical approach; Elastodynamics; Local truncation error; Optimal high-order accuracy; Nearly incompressible materials; Finite elements; FINITE-ELEMENT; ISOGEOMETRIC ANALYSIS; MASS MATRICES; INTEGRATION; DISCRETIZATIONS; DIFFERENCE; PARADIGM; CAD;
D O I
10.1016/j.compstruc.2019.106160
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A new approach for the increase in the order of accuracy of high-order numerical techniques used for 2-D time-dependent elasticity (structural dynamics and wave propagation) has been suggested on uniform square and rectangular meshes. It is based on the optimization of the coefficients of the corresponding semi-discrete stencil equations with respect to the local truncation error. It is shown that the second order of accuracy of the linear finite elements with 9-point stencils is optimal and cannot be improved. However, we have calculated new 9-point stencils with the second order of accuracy that yield more accurate results than those obtained by the linear finite elements. We have also developed new 25-point stencils (similar to those for the quadratic finite and isogeometric elements) with the optimal sixth order of accuracy for the non-diagonal mass matrix and with the optimal fourth order of accuracy for the diagonal mass matrix. The numerical results are in good agreement with the theoretical findings as well as they show a big increase in accuracy of the new stencils compared with those for the high-order finite elements. At the same number of degrees of freedom, the new approach yields significantly more accurate results than those obtained by the high-order (up to the eighth order) finite elements with the non-diagonal mass matrix. The numerical experiments also show that the new approach with 25-point stencils yields very accurate results for nearly incompressible materials with Poisson's ratio 0.4999. (C) 2019 Elsevier Ltd. All rights reserved.
引用
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页数:18
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