Evaluating numerical techniques with HPC systems in predicting vibratory responses of large finite element models
| Autor: | Alyssa Bennett, Hector Flores, Kuangcheng Wu, Steve Wong, Anthony L. Bonomo |
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| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | The Journal of the Acoustical Society of America. 153:A318-A318 |
| ISSN: | 1520-8524 0001-4966 |
| Popis: | Finite element (FE) analyses have been widely used to support design optimizations in various disciplines to improve performance and possibly save material, cost, and schedule. As computational resources (i.e., CPU, memory, storage, and accelerator) are getting more powerful and cost effective, the complexity and model sizes of numerical models are greatly increasing to capture geometry details and features of the design. Correspondingly, the computational time for complex and large FE models are significantly growing. Traditional brute-force approach is not quickly enough to support design iterations. In this presentation, various numerical techniques are investigated and exercised in the DoD High Performance Computing systems to identify their advantages and limitations in conducting large FE analyses. Those techniques include utilization of GPGPU, direct versus iterative solvers, approximation of frequency sweep, etc. As a benchmark case, frequency response functions of a flat plate with viscoelastic material is exercised at the DoD HPC systems to examine the numerical techniques' impacts. |
| Databáze: | OpenAIRE |
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