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

Kwok Wing Chau, F. Albermani

Research output: Journal article publicationJournal articleAcademic researchpeer-review

46 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)1312-1321
Number of pages10
JournalJournal of Structural Engineering
Issue number10
Publication statusPublished - 1 Oct 2003


  • Algorithms
  • Knowledge-based systems
  • Liquids
  • Structural design

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering


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