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| Optimal design of steel-UHPC composite beam with waffle slab using parallel computing and genetic algorithm |
| Received:October 27, 2021 Revised:March 18, 2022 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx20211027003 |
| KeyWord:ultra-high performance concrete(UHPC) waffle slab composite beam structure optimal design parallel computing genetic algorithm |
| Author | Institution |
| 史腾 |
天津大学 建筑工程学院, 天津 |
| 朱劲松 |
天津大学 建筑工程学院, 天津 ;天津大学 滨海土木工程结构与安全教育部重点实验室, 天津 |
| 王子挺 |
天津大学 建筑工程学院, 天津 |
| 秦亚婷 |
天津大学 建筑工程学院, 天津 |
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| Abstract: |
| A structural optimal design method based on parallel computing and genetic algorithm is proposed to realize the rapid, economical, and reasonable design scheme for structures of steel-UHPC composite beam with waffle slabs.A parallel computing platform was established in Python to enable Abaqus and Python to perform the simultaneous numerical simulation and data processing.The genetic algorithm was used to optimize the steel-UHPC composite beams with waffle slabs with the goal of minimizing cost, which verified the feasibility of the proposed method.The results show that the intensive computational tasks in the genetic algorithm can be parallelized and distributed to different computational resources to improve computing efficiency;the application of parallel computing can increase the optimization efficiency by 8.6 times;the average CPU usage of parallel computing and sequential computing is 82% and 18%, respectively.The successful application of the proposed method can provide a reference for the optimal design of other types of structures. |