Jin Cheng
Tongji University
14 Papers
65 Citations
Jin Cheng is an academic researcher from Tongji University. The author has contributed to research in topics: Reliability (statistics) & Artificial neural network. The author has an hindex of 9, co-authored 13 publications. Previous affiliations of Jin Cheng include City University of Hong Kong.
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Papers
Reliability analysis of structures using artificial neural network based genetic algorithms
Jin Cheng,Qiusheng Li +1 more
TL;DR: Three numerical examples involving both structural and non-structural problems illustrate the application and effectiveness of the methods developed, which indicate that the proposed methods can provide accurate and computationally efficient estimates of probability of failure.
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Optimum design of steel truss arch bridges using a hybrid genetic algorithm
TL;DR: In this article, a real-coded/integer-coded method is used to realistically represent the values of the design variables and three GA operators consisting of constraint aggregate selection procedure, arithmetic crossover, and non-uniform mutation are proposed.
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Reliability analysis of a long span steel arch bridge against wind-induced stability failure during construction
Jin Cheng,Qiusheng Li +1 more
TL;DR: In this paper, an efficient and accurate algorithm is proposed to evaluate the reliability of long span steel arch bridges against wind-induced stability failure during construction, which is developed based on stochastic finite-element method.
25
A hybrid artificial neural network method with uniform design for structural optimization
Jin Cheng,Qiusheng Li +1 more
TL;DR: It is shown through three numerical examples that the proposed method provides accurate and computationally efficient estimates of the solutions of structural optimization problems.
24
Reliability analysis of long span steel arch bridges against wind-induced stability failure
Jin Cheng,Qiusheng Li +1 more
TL;DR: In this paper, an efficient method for reliability assessment of long span steel arch bridges against wind-induced stability failure is presented, which is performed by an eigenvalue method and the reliability estimates are determined by a generalized first-order reliability algorithm.
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