期刊
JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS
卷 10, 期 6, 页码 -出版社
ASME
DOI: 10.1115/1.4029110
关键词
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资金
- National Science Foundation [CMMI-1232508, CMMI-1161474]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [1161474, 1232508] Funding Source: National Science Foundation
The primary computational bottle-neck in implicit structural dynamics is the repeated inversion of the underlying stiffness matrix. In this paper, a fast inversion technique is proposed by merging four distinct but complementary concepts: (1) voxelization with adaptive local refinement, (2) assembly-free (a.k.a. matrix-free or element-by-element) finite element analysis (FEA), (3) assembly-free deflated conjugate gradient (AF-DCG), and (4) multicore parallelization. In particular, we apply these concepts to the well-known Newmark-beta method, and the resulting AF-DCG is well-suited for large-scale problems. It can be easily ported to many-core central processing unit (CPU) and multicore graphics-programmable unit (GPU) architectures, as demonstrated through numerical experiments.
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