An Improved Adaptive Chaos Control Method for Inverse Reliability Analysis

LI Bin; HAO Peng; MENG Zeng; LI Gang

doi:10.21656/1000-0887.380001

Volume 38 Issue 9

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LI Bin, HAO Peng, MENG Zeng, LI Gang. An Improved Adaptive Chaos Control Method for Inverse Reliability Analysis[J]. Applied Mathematics and Mechanics, 2017, 38(9): 979-987. doi: 10.21656/1000-0887.380001

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An Improved Adaptive Chaos Control Method for Inverse Reliability Analysis

doi: 10.21656/1000-0887.380001

¹State Key Laboratory of Structural Analysis for Industrial Equipment(Dalian University of Technology); Department of Engineering Mechanics, Dalian University of Technology, Dalian, Liaoning 116024, P.R.China;²School of Civil Engineering, Hefei University of Technology, Hefei 230009, P.R.China

Funds: The National Basic Research Program of China (973 Program)(2014CB046506;2014CB046803);The National Natural Science Foundation of China(11372061;11402049;11602076)

Received Date: 2017-01-03
Rev Recd Date: 2017-03-08
Publish Date: 2017-09-15

Abstract

Abstract

The adaptive chaos control (ACC) method was an efficient and robust method for inverse reliability analysis. However, for strongly nonlinear concave performance functions, the computational efficiency of ACC still needs to be enhanced. Moreover, it might be trapped in the local optimum. Through revision of the update strategy for the chaos control factors, an improved adaptive chaos control method was presented for the inverse reliability analysis. Numerical results show that the proposed method effectively improves the rationality of adaptive selection of chaos control factors, so as to get better convergence and higher efficiency in computation. Furthermore, it makes a more efficient and robust approach for the reliability analysis and reliabilitybased design optimization.
- inverse reliability analysis,
- chaos control,
- strong nonlinearity,
- local optimum,
- efficient and robust

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References

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