| Reducing flow fluctuation using deep reinforcement learning with a CNN-based flow feature model | |
Ye SR(叶舒然); Zhang, Zhen; Wang YW(王一伟) ; Huang CG(黄晨光)
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| Corresponding Author | Wang, Yiwei([email protected]) |
| Source Publication | OCEAN ENGINEERING
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| 2024-08-15 | |
| Volume | 306Pages:10 |
| ISSN | 0029-8018 |
| Abstract | Flow control and shape optimisation are fundamental problems in fluid mechanics, particularly in certain scenarios involving ocean engineering. Attempts to manage the flow field via reinforcement learning are based on newly developed deep -learning techniques. By utilising an adaptive optimisation process in the flow around two square cylinders (the main square cylinder with a smaller square cylinder in the front) for the position of the front square cylinder, the flow state that minimises the oscillation of the flow field in the wake can be obtained through deep reinforcement learning. Furthermore, as the training process for this reinforcement learning is time consuming, the flow simulation component of the process is replaced with a feature detection model based on a convolutional neural network, which effectively accelerates the training process. This approach to simulating the optimal position -finding procedure with acceleration can be extended to other similar situations and practical engineering projects. |
| Keyword | Deep reinforcement learning Flow feature detection Flow around two square cylinders Position optimisation Deep learning |
| DOI | 10.1016/j.oceaneng.2024.118089 |
| Indexed By | SCI ; EI |
| Language | 英语 |
| WOS ID | WOS:001240669700001 |
| WOS Keyword | SQUARE CYLINDER |
| WOS Research Area | Engineering ; Oceanography |
| WOS Subject | Engineering, Marine ; Engineering, Civil ; Engineering, Ocean ; Oceanography |
| Funding Project | National Natural Science Foundation of China (NSFC)[12302514] ; National Natural Science Foundation of China (NSFC)[12202291] |
| Funding Organization | National Natural Science Foundation of China (NSFC) |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Wang, Yiwei |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/95561 |
| Collection | 流固耦合系统力学重点实验室 |
| Recommended Citation GB/T 7714 | Ye SR,Zhang, Zhen,Wang YW,et al. Reducing flow fluctuation using deep reinforcement learning with a CNN-based flow feature model[J]. OCEAN ENGINEERING,2024,306:10.Rp_Au:Wang, Yiwei |
| APA | 叶舒然,Zhang, Zhen,王一伟,&黄晨光.(2024).Reducing flow fluctuation using deep reinforcement learning with a CNN-based flow feature model.OCEAN ENGINEERING,306,10. |
| MLA | 叶舒然,et al."Reducing flow fluctuation using deep reinforcement learning with a CNN-based flow feature model".OCEAN ENGINEERING 306(2024):10. |
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