A LSTM surrogate modelling approach for caisson foundations

doi:10.1016/j.oceaneng.2020.107263

IMECH-IR > 流固耦合系统力学重点实验室

	A LSTM surrogate modelling approach for caisson foundations
	Zhang P1,2 ; Yin ZY 1; Zheng YY 3,4; Gao FP(高福平)5,6
通讯作者	Yin, Zhen-Yu(zhenyu.yin@polyu.edu.hk)
发表期刊	OCEAN ENGINEERING
	2020-05-15
卷号	204 页码:13
ISSN	0029-8018
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.
关键词	Caisson foundation Failure envelope Smoothed particle hydrodynamics Long short-term memory
DOI	10.1016/j.oceaneng.2020.107263
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000530233700003
关键词[WOS]	SUCTION CAISSONS ; HYPOPLASTIC MACROELEMENT ; SHALLOW FOUNDATIONS ; CIRCULAR FOOTINGS ; SAND ; BEHAVIOR ; CAPACITY ; SOIL ; SETTLEMENTS ; PREDICTION
WOS研究方向	Engineering ; Oceanography
WOS类目	Engineering, Marine ; Engineering, Civil ; Engineering, Ocean ; Oceanography
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]
项目资助者	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)
论文分区	一类
力学所作者排名	4
RpAuthor	Yin, Zhen-Yu
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/82019
专题	流固耦合系统力学重点实验室
作者单位	1.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hung Hom, Kowloon, Hong Kong, Peoples R China; 2.Southern Marine Sci & Engn Guangdong Lab Guangzho, 1119 Haibin Rd, Guangzhou, Peoples R China; 3.Sun Yat Sen Univ, Sch Civil Engn, Guangzhou 510275, Peoples R China; 4.Southern Marine Sci & Engn Guangdong Lab Zhuahai, Zhuahai, Peoples R China; 5.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China; 6.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, 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.

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