Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms

Chau, K. W. and Albermani, F. (2003) Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms. Journal of Structural Engineering-asce, 129 10: 1312-1321. doi:10.1061/(ASCE)0733-9445(2003)129:10(1312)

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Author Chau, K. W.
Albermani, F.
Title Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms
Journal name Journal of Structural Engineering-asce   Check publisher's open access policy
ISSN 0733-9445
Publication date 2003
Sub-type Article (original research)
DOI 10.1061/(ASCE)0733-9445(2003)129:10(1312)
Open Access Status File (Author Post-print)
Volume 129
Issue 10
Start page 1312
End page 1321
Total pages 10
Place of publication Reston, VA USA
Publisher ASCE - American Society Civil Engineers
Collection year 2003
Language eng
Subject C1
290801 Structural Engineering
680203 Civil
Abstract This paper delineates the development of a prototype hybrid knowledge-based system for the optimum design of liquid retaining structures by coupling the blackboard architecture, an expert system shell VISUAL RULE STUDIO and genetic algorithm (GA). Through custom-built interactive graphical user interfaces under a user-friendly environment, the user is directed throughout the design process, which includes preliminary design, load specification, model generation, finite element analysis, code compliance checking, and member sizing optimization. For structural optimization, GA is applied to the minimum cost design of structural systems with discrete reinforced concrete sections. The design of a typical example of the liquid retaining structure is illustrated. The results demonstrate extraordinarily converging speed as near-optimal solutions are acquired after merely exploration of a small portion of the search space. This system can act as a consultant to assist novice designers in the design of liquid retaining structures.
Keyword Construction & Building Technology
Engineering, Civil
Expert-system
Flow
Q-Index Code C1

 
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Created: Wed, 15 Aug 2007, 01:30:33 EST