Parallel Finite Element Algorithm for Large Elastic Deformations: Program Development and Validation

A comprehensive understanding of large elastic deformation, characterized by its nonlinear strain and stress properties, is vital for examining tectonic deformation across geological timescales. We employ the PFELAC software 2.2 platform to automate the generation of parallel elastic large deformation finite element codes. By writing only a minimal amount of fundamental finite element language rooted in the principle of virtual work, we significantly enhance the program development efficiency. The accuracy of the finite element method is rigorously validated through comparisons with analytical solutions from two idealized models. Furthermore, we investigate the influences of mesh density and CPU core count on computational performance. As the number of cores increases, the parallel speedup ratio rises, but the parallel efficiency decreases. For 16 cores, the speedup ranges from 11.36 to 12.24, with a parallel efficiency between 0.71 and 0.77. In contrast, for 64 cores, the speedup is between 24.70 and 34.78, while the parallel efficiency drops to between 0.39 and 0.43. The program’s application to simulate crustal fold deformation reveals marked distinctions between large and small deformation theories, emphasizing the critical importance of large deformation theory in tectonic studies.

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Publication Details

Journal
Eng—Advances in Engineering
Published
2025-03-01
DOI
https://doi.org/10.3390/eng6030048
Citations
1
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
1.33

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article

Parallel Finite Element Algorithm for Large Elastic Deformations: Program Development and Validation

Huai Zhang, Yuhang Chen, Caibo Hu
1 citations
Eng—Advances in Engineering
Advanced Numerical Methods in Computational Mathematics
1.33
article

Parallel Finite Element Algorithm for Large Elastic Deformations: Program Development and Validation

Huai Zhang, Yuhang Chen, Caibo Hu
article en
1 citations

Abstract

A comprehensive understanding of large elastic deformation, characterized by its nonlinear strain and stress properties, is vital for examining tectonic deformation across geological timescales. We employ the PFELAC software 2.2 platform to automate the generation of parallel elastic large deformation finite element codes. By writing only a minimal amount of fundamental finite element language rooted in the principle of virtual work, we significantly enhance the program development efficiency. The accuracy of the finite element method is rigorously validated through comparisons with analytical solutions from two idealized models. Furthermore, we investigate the influences of mesh density and CPU core count on computational performance. As the number of cores increases, the parallel speedup ratio rises, but the parallel efficiency decreases. For 16 cores, the speedup ranges from 11.36 to 12.24, with a parallel efficiency between 0.71 and 0.77. In contrast, for 64 cores, the speedup is between 24.70 and 34.78, while the parallel efficiency drops to between 0.39 and 0.43. The program’s application to simulate crustal fold deformation reveals marked distinctions between large and small deformation theories, emphasizing the critical importance of large deformation theory in tectonic studies.

Eng—Advances in EngineeringVol. 6(3)
University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 26%
Advanced Numerical Methods in Computational Mathematics
1.33
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Parallel Finite Element Algorithm for Large Elastic Deformations: Program Development and Validation — Huai Zhang, Yuhang Chen, et al. · Eng—Advances in Engineering (2025) | TGRS Research Map | TGRS