A LSTM surrogate modelling approach for caisson foundations
文献类型：期刊论文
| 作者 | Zhang P5,6 ; Yin ZY6; Zheng YY3,4; Gao FP(高福平)1,2
|
| 刊名 | OCEAN ENGINEERING
 |
| 出版日期 | 2020-05-15 |
| 卷号 | 204页码:13 |
| 关键词 | Caisson foundation Failure envelope Smoothed particle hydrodynamics Long short-term memory |
| ISSN号 | 0029-8018 |
| DOI | 10.1016/j.oceaneng.2020.107263 |
| 通讯作者 | Yin, Zhen-Yu(zhenyu.yin@polyu.edu.hk) |
| 英文摘要 | This study proposes a hybrid surrogate modelling approach with the integration of deep learning algorithm long short-term memory (LSTM) to identify the mechanical responses of caisson foundations in marine soils. The LSTM based surrogate model is first trained based on limited results generated from the SPH-SIMSAND based numerical simulations with a strong validation, thereafter it is applied to predict the mechanical responses of soil-structure interaction and the failure envelope of unknown caisson foundations with various specifications as testing. The results indicate that the LSTM based model is more flexible than macro-element method, because it can directly learn the failure mechanism of caisson foundation from the raw data, meanwhile guarantees a high computational efficiency and accuracy in comparison with physical and numerical modelling. LSTM based surrogated model shows a great potential of application in engineering practice. |
| 分类号 | 一类 |
| WOS关键词 | SUCTION CAISSONS ; HYPOPLASTIC MACROELEMENT ; SHALLOW FOUNDATIONS ; CIRCULAR FOOTINGS ; SAND ; BEHAVIOR ; CAPACITY ; SOIL ; SETTLEMENTS ; PREDICTION |
| 资助项目 | Research Grants Council (RGC) of Hong Kong Special Administrative Region Government (HKSARG) of China[PolyU R5037-18F] ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)[GML2019ZD0503] |
| WOS研究方向 | Engineering ; Oceanography |
| 语种 | 英语 |
| WOS记录号 | WOS:000530233700003 |
| 资助机构 | Research Grants Council (RGC) of Hong Kong Special Administrative Region Government (HKSARG) of China ; Key Special Project for Introduced Talents Team of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) |
| 其他责任者 | Yin, Zhen-Yu |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/82018]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 作者单位 | 1.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China; 3.Southern Marine Sci & Engn Guangdong Lab Zhuahai, Zhuahai, Peoples R China; 4.Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China; 5.Southern Marine Sci & Engn Guangdong Lab Guangzho, 1119 Haibin Rd, Guangzhou, Peoples R China; 6.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Zhang P,Yin ZY,Zheng YY,et al. A LSTM surrogate modelling approach for caisson foundations[J]. OCEAN ENGINEERING,2020,204:13. |
| APA | Zhang P,Yin ZY,Zheng YY,&高福平.(2020).A LSTM surrogate modelling approach for caisson foundations.OCEAN ENGINEERING,204,13. |
| MLA | Zhang P,et al."A LSTM surrogate modelling approach for caisson foundations".OCEAN ENGINEERING 204(2020):13. |
入库方式： OAI收割
来源：力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。