Genetic Algorithm in Mix Proportioning of High -Performance Concrete

고성능 콘크리트 배합 설계에서의 유전자 알고리즘의 적용

  • 임철현 (고려대학교 방재과학기술센터 연구원) ;
  • 윤영수 (고려대학교 토목환경공학과) ;
  • 이승훈 (삼성물산(주) 걸설부문 기술연구소) ;
  • 손유신 (삼성물산(주) 걸설부문 기술연구소)
  • Published : 2002.05.01

Abstract

High-performance concrete is defined as concrete that meets special combinations of performance and uniformity requirements that cannot always be achieved routinely using conventional constituents and normal mixing, placing, and curing practices. Ever since the term high-performance concrete was introduced into the industry, it had widely used in large-scale concrete construction that demands high-strength, high-flowability, and high-durability. To obtain such performances that cannot be obtained from conventional concrete and by the current method, a large number of trial mixes are required to select the desired combination of materials that meets special performance. In this paper, therefore, using genetic algorithm which is a global optimization technique modeled on biological evolutionary process-natural selection and natural genetics-and can be used to find a near optimal solution to a problem that may have many solutions, the new design method for high-performance concrete mixtures is suggested to reduce the number of trial mixtures with desired properties in the field test. Experimental and analytic investigations were carried out to develop the design method for high-performance concrete mixtures and to verify the proposed mix design.

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