中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive reliability analysis based on a support vector machine and its application to rock engineering

文献类型:期刊论文

作者Ru, Zhongliang2; Zhao, Hongbo2; Li, Shaojun1
刊名APPLIED MATHEMATICAL MODELLING
出版日期2017
卷号44页码:508-522
关键词Reliability analysis Response surface method (RSM) Rock tunnel Design point Experimental point
ISSN号0307-904X
DOI10.1016/j.apm.2017.02.020
英文摘要The response surface method (RSM), a simple and effective approximation technique, is widely used for reliability analysis in civil engineering. However, the traditional RSM needs a considerable number of samples and is computationally intensive and time-consuming for practical engineering problems with many variables. To overcome these problems, this study proposes a new approach that samples experimental points based on the difference between the last two trial design points. This new method constructs the response surface using a support vector machine (SVM); the SVM can build complex, nonlinear relations between random variables and approximate the performance function using fewer experimental points. This approach can reduce the number of experimental points and improve the efficiency and accuracy of reliability analysis. The advantages of the proposed method were verified using four examples involving random variables with different distributions and correlation structures. The results show that this approach can obtain the design point and reliability index with fewer experimental points and better accuracy. The proposed method was also employed to assess the reliability of a numerically modeled tunnel. The results indicate that this new method is applicable to practical, complex engineering problems such as rock engineering problems. (C) 2017 Elsevier Inc. All rights reserved.
WOS研究方向Engineering ; Mathematics ; Mechanics
语种英语
WOS记录号WOS:000401208500034
出版者ELSEVIER SCIENCE INC
源URL[http://119.78.100.198/handle/2S6PX9GI/4038]  
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 ;
推荐引用方式
GB/T 7714
Ru, Zhongliang,Zhao, Hongbo,Li, Shaojun. Adaptive reliability analysis based on a support vector machine and its application to rock engineering[J]. APPLIED MATHEMATICAL MODELLING,2017,44:508-522.
APA Ru, Zhongliang,Zhao, Hongbo,&Li, Shaojun.(2017).Adaptive reliability analysis based on a support vector machine and its application to rock engineering.APPLIED MATHEMATICAL MODELLING,44,508-522.
MLA Ru, Zhongliang,et al."Adaptive reliability analysis based on a support vector machine and its application to rock engineering".APPLIED MATHEMATICAL MODELLING 44(2017):508-522.

入库方式: OAI收割

来源:武汉岩土力学研究所

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