Knowledge-Based System on Optimum Design of Liquid Retaining Structures with Genetic Algorithms
Publication: Journal of Structural Engineering
Volume 129, Issue 10
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.
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Information
Published In
Journal of Structural Engineering
Volume 129 • Issue 10 • October 2003
Pages: 1312 - 1321
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Oct 22, 2001
Accepted: Jan 14, 2003
Published online: Sep 15, 2003
Published in print: Oct 2003
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