A GPU optimization strategy in nonlinear explicit dynamic analysis for reinforced concrete buildings with composite elements
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| Publicado en: | Journal of Computational Design and Engineering vol. 13, no. 1 (Jan 2026), p. 141-158 |
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| Otros Autores: | , , , |
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Oxford University Press
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| Acceso en línea: | Citation/Abstract Full Text - PDF |
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| 001 | 3289770396 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2288-5048 | ||
| 024 | 7 | |a 10.1093/jcde/qwaf127 |2 doi | |
| 035 | |a 3289770396 | ||
| 045 | 2 | |b d20260101 |b d20260131 | |
| 100 | 1 | |a Liu, Lanqi |u School of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China | |
| 245 | 1 | |a A GPU optimization strategy in nonlinear explicit dynamic analysis for reinforced concrete buildings with composite elements | |
| 260 | |b Oxford University Press |c Jan 2026 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a The explicit integration for nonlinear structural dynamics in finite element analysis (FEA) is inherently decoupled in its algebraic equations, making it well-suited for parallel computation. This paper presents a novel and efficient central processing unit (CPU)/graphics processing unit (GPU) implementation and optimization strategy for the explicit integration of complex tall buildings subjected to seismic loading for the design software YJK. The presence of multiple element types and distinct material constitutive laws in finite element (FE) models of reinforced concrete building structures results in significant computational overhead and branching. In this paper, the calculation-related data for a FE model is reorganized into several data-domains, each corresponding to sole element type and sole material constitutive law. To achieve higher computational performance, a concurrent kernel execution strategy is implemented on the GPU platform. Instead of relying on the default, inefficient kernel scheduler of GPU, we developed an efficient scheduler to maximize GPU utilization. This scheduler first measures resource requirements of each kernel, then ranks and divides them into sub-kernels for concurrent execution. Performance tests on practical engineering project demonstrate that, without compromising accuracy, the proposed optimization strategy achieves up to 328.66 × performance improvement over CPU serial implementation, and up to 4.76 × and 1.59 × improvements over a simpler GPU implementation and the default GPU scheduler, respectively. | |
| 653 | |a Earthquake loads | ||
| 653 | |a Finite element method | ||
| 653 | |a Parallel processing | ||
| 653 | |a Central processing units--CPUs | ||
| 653 | |a Tall buildings | ||
| 653 | |a Reinforced concrete | ||
| 653 | |a Graphics processing units | ||
| 653 | |a Nonlinear dynamics | ||
| 653 | |a Performance tests | ||
| 653 | |a Optimization | ||
| 700 | 1 | |a Chen, Yongqiang |u School of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China | |
| 700 | 1 | |a Wang, Xianlei |u YJK Building Software Limited, Beijing 100013, China | |
| 700 | 1 | |a Su, Zhongliang |u YJK Building Software Limited, Beijing 100013, China | |
| 700 | 1 | |a Chen, Pu |u School of Mechanics and Engineering Science, College of Engineering, Peking University, Beijing 100871, China; State Key Laboratory for Turbulence & Complex Systems, Peking University, Beijing 100871, China | |
| 773 | 0 | |t Journal of Computational Design and Engineering |g vol. 13, no. 1 (Jan 2026), p. 141-158 | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3289770396/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3289770396/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |