Reliability and performance-based design by artificial neural network

被引：51

作者：

Chau, K. W. ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Civil & Struct Engn, Kowloon, Hong Kong, Peoples R China

来源：

ADVANCES IN ENGINEERING SOFTWARE | 2007年 / 38卷 / 03期

关键词：

design parameters; neural network; performance-based design; structural reliability; OPTIMIZATION;

D O I：

10.1016/j.advengsoft.2006.09.008

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Whilst conventional approach in structural design is based on reliability-calibrated factored design formula, performance-based design customizes a solution to the specific circumstance. In this work, an artificial neural network approach is employed to determine implicit limit state functions for reliability evaluations in performance-based design and to optimally evaluate a set of design variables under specified performance criteria and corresponding desired reliability levels in design. Case examples are shown for reliability design. Through the establishment of the response and reliability databases, for specified target reliabilities, structural response computations are integrated with the evaluation of design parameters and design can be accomplished. By employing this methodology, with the same performance requirements, pertinent design parameters can be altered in order to evaluate feasible design alternatives, to explore the usage of various structural materials and to define required material quality control. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：145 / 149

页数：5

共 21 条

[1]

AMOS G, 2005, MATLAB INTRO APPL

[2]

[Anonymous], 1992, Advances in Neural Information Processing Systems

[3]

Bebis G., 1994, IEEE Potentials, V13, P27

[4]

Chau KW, 2004, LECT NOTES COMPUT SC, V3174, P970

[5]

Chau KW, 2004, LECT NOTES COMPUT SC, V3029, P1166

[6] Real-Time Prediction of Water Stage with Artificial Neural Network Approach [J].

Chau, KW ;

Cheng, CT .

AL 2002: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2002, 2557 :715-715

[7] A sequential approximate programming strategy for reliability-based structural optimization [J].

Cheng, Gengdong ;

Xu, Lin ;

Jiang, Lei .

COMPUTERS & STRUCTURES, 2006, 84 (21) :1353-1367

[8] Life-cycle optimization in the establishment of performance-acceptance parameters for seismic design [J].

Esteva, L ;

Díaz-López, O ;

García-Pérez, J ;

Sierra, G ;

Ismael, E .

STRUCTURAL SAFETY, 2002, 24 (2-4) :187-204

[9] Reliability and performance-based design: a computational approach and applications [J].

Foschi, RO ;

Li, H ;

Zhang, J .

STRUCTURAL SAFETY, 2002, 24 (2-4) :205-218

[10] WHERE AND WHY ARTIFICIAL NEURAL NETWORKS ARE APPLICABLE IN CIVIL ENGINEERING [J].

GARRETT, JH .

JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 1994, 8 (02) :129-130

← 1 2 3 →