Slope reliability analysis by updated support vector machine and Monte Carlo simulation

doi:10.1007/s11069-012-0396-x

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

	Slope reliability analysis by updated support vector machine and Monte Carlo simulation
	Li, Shaojun 1; Zhao, Hong-Bo 2; Ru, Zhongliang 2
刊名	NATURAL HAZARDS
	2013
卷号	65 期号:1 页码:707-722
关键词	Slope Reliability analysis Monte Carlo simulation Support vector machine Particle swarm optimization
ISSN号	0921-030X
DOI	10.1007/s11069-012-0396-x
英文摘要	This paper presents a new methodology for slope reliability analysis by integrating the technologies of updated support vector machine (SVM) and Monte Carlo simulation (MCS). MCS is a powerful tool that may be used to solve a broad range of reliability problems and has therefore become widely used in slope reliability analysis. However, MCS often involves a great number of slope stability analysis computations, a process that requires excessive time consumption. The updated SVM is introduced in order to build the relationship between factor of safety and random variables of slope, contributing to reducing a large number of normal computing tasks and enlarging the problem scale and sample size of MCS. In the algorithm of the updated SVM, the particle swarm optimization method is adopted in order to seek the optimal SVM parameters, enhancing the performance of SVM for solving complex problems in slope stability analysis. Finally, the integrating method is applied to a classic slope for addressing the problem of reliability analysis. The results of this study indicate that the new methodology is capable of obtaining positive results that are consistent with the results of classic solutions; therefore, the methodology is proven to be a powerful and effective tool in slope reliability analysis.
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000312087100038
内容类型	期刊论文
源URL	[http://119.78.100.198/handle/2S6PX9GI/3407]
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, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech ; 2.Henan Polytech Univ, Sch Civil Engn
推荐引用方式 GB/T 7714	Li, Shaojun,Zhao, Hong-Bo,Ru, Zhongliang. Slope reliability analysis by updated support vector machine and Monte Carlo simulation[J]. NATURAL HAZARDS,2013,65(1):707-722.
APA	Li, Shaojun,Zhao, Hong-Bo,&Ru, Zhongliang.(2013).Slope reliability analysis by updated support vector machine and Monte Carlo simulation.NATURAL HAZARDS,65(1),707-722.
MLA	Li, Shaojun,et al."Slope reliability analysis by updated support vector machine and Monte Carlo simulation".NATURAL HAZARDS 65.1(2013):707-722.