Customization of reciprocal mass matrices via log‐det heuristic
Customization of reciprocal mass matrices via log‐det heuristic
复制标题
通过 logâdet 启发式定制倒数质量矩阵
DOI:
10.1002/nme.6240
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发表时间:
2020
影响因子:
2.9
通讯作者:
A. Tkachuk
中科院分区:
文献类型:
--
作者:
A. Tkachuk
Customization of finite elements for low‐dispersion error through grid dispersion analysis requires a symbolic expansion of a determinant of a representative dynamic stiffness matrix. Such an expansion turns out to be a bottleneck for many practical cases with the size of the representative matrix greater than eight or ten even if the modern computer algebra systems are applied. In this contribution, we propose an alternative approach for low‐dispersion customization that avoids explicit determinant expansion. This approach reduces the customization problem to a series of quadratic programming problems and consist of two main steps. First, the customization problem is reformulated as a rank minimization problem for the representative dynamic stiffness matrix evaluated at several discrete pairs of wavenumbers and frequencies. Second, the rank minimization problem is solved approximately via log‐det heuristic. Examples for customization of reciprocal mass matrices illustrate capabilities of the proposed approach.
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影响因子:
2.9
作者:
J. A. González;R. Kolman;S. S. Cho-S.;C. Felippa;K. Park
通讯作者:
J. A. González;R. Kolman;S. S. Cho-S.;C. Felippa;K. Park
影响因子:
2.9
作者:
R. Kolman;J. Plesek;M. Okrouhlík;D. Gabriel
通讯作者:
D. Gabriel
DOI:
10.1016/j.cma.2017.08.035
发表时间:
2017-11
影响因子:
7.2
作者:
Anne-Kathrin Schaeuble;A. Tkachuk;M. Bischoff
通讯作者:
Anne-Kathrin Schaeuble;A. Tkachuk;M. Bischoff
影响因子:
2.9
作者:
J. A. González;J. Kopačka;R. Kolman;S. Cho;Kyung-Duck Park
通讯作者:
J. A. González;J. Kopačka;R. Kolman;S. Cho;Kyung-Duck Park
DOI:
10.1016/0045-7825(94)90214-3
发表时间:
1994-03-01
影响因子:
7.2
作者:
FELIPPA, CA
通讯作者:
FELIPPA, CA