Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1221
Title: Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms
Authors: Chau, KW 
Albermani, F
Keywords: Algorithms
Knowledge-based systems
Liquids
Structural design
Issue Date: Oct-2003
Publisher: American Society of Civil Engineers (ASCE)
Source: Journal of structural engineering, Oct. 2003, v. 129, no. 10, p. 1312-1321 How to cite?
Journal: Journal of structural engineering 
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.
URI: http://hdl.handle.net/10397/1221
ISSN: 0733-9445
DOI: 10.1061/(ASCE)0733-9445(2003)129:10(1312)
Rights: Journal of Structural Engineering © 2003 ASCE. The published version in ASCE's Engineering Database is located at: http://cedb.asce.org/cgi/WWWdisplay.cgi?0304462.
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