Probabilistic back analysis for geotechnical engineering based on Bayesian and support vector machine

doi:10.1007/s11771-015-3029-1

CORC > 武汉岩土力学研究所 > 中科院武汉岩土力学所 > 岩土力学所知识全产出 > 期刊论文

	Probabilistic back analysis for geotechnical engineering based on Bayesian and support vector machine
	Chen Bing-rui 1; Zhao Hong-bo 2; Ru Zhong-liang 2; Li Xian 3
刊名	JOURNAL OF CENTRAL SOUTH UNIVERSITY
	2015
卷号	22 期号:12 页码:4778-4786
关键词	geotechnical engineering back analysis uncertainty Bayesian theory least square method support vector machine (SVM)
ISSN号	2095-2899
DOI	10.1007/s11771-015-3029-1
英文摘要	Geomechanical parameters are complex and uncertain. In order to take this complexity and uncertainty into account, a probabilistic back-analysis method combining the Bayesian probability with the least squares support vector machine (LS-SVM) technique was proposed. The Bayesian probability was used to deal with the uncertainties in the geomechanical parameters, and an LS-SVM was utilized to establish the relationship between the displacement and the geomechanical parameters. The proposed approach was applied to the geomechanical parameter identification in a slope stability case study which was related to the permanent ship lock within the Three Gorges project in China. The results indicate that the proposed method presents the uncertainties in the geomechanical parameters reasonably well, and also improves the understanding that the monitored information is important in real projects.
WOS研究方向	Metallurgy & Metallurgical Engineering
语种	英语
出版者	JOURNAL OF CENTRAL SOUTH UNIV TECHNOLOGY
WOS记录号	WOS:000366635500031
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/3788]
专题	岩土力学所知识全产出_期刊论文国家重点实验室知识产出_期刊论文
作者单位	1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn ; 2.Henan Polytech Univ, Sch Civil Engn; 3.Wuhan Univ Sci & Technol, Sch Resource & Environm Engn
推荐引用方式 GB/T 7714	Chen Bing-rui,Zhao Hong-bo,Ru Zhong-liang,et al. Probabilistic back analysis for geotechnical engineering based on Bayesian and support vector machine[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY,2015,22(12):4778-4786.
APA	Chen Bing-rui,Zhao Hong-bo,Ru Zhong-liang,&Li Xian.(2015).Probabilistic back analysis for geotechnical engineering based on Bayesian and support vector machine.JOURNAL OF CENTRAL SOUTH UNIVERSITY,22(12),4778-4786.
MLA	Chen Bing-rui,et al."Probabilistic back analysis for geotechnical engineering based on Bayesian and support vector machine".JOURNAL OF CENTRAL SOUTH UNIVERSITY 22.12(2015):4778-4786.