KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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Development of a Backcalculation Method for Estimating Pavement Layer Modulus Using the Genetic Algorithm Part I : Selection of the GA Parameters

유전자 알고리즘을 이용한 포장층 탄성계수 역해석 기법 개발 Part I : GA 연산자 선정

Park, Seong-Wan;Park, Hee-Mun;Hwang, Jung-Joon
박성완;박희문;황정준

  • Published : 20070700

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Abstract

It is important to predict the structural adequacies of asphalt pavements in service for the efficient pavement management using the falling weight deflectometer (FWD). The purpose of this study is to present the procedure for backcalculating the layer moduli using the FWD deflections and GAPAVE program. The GAPAVE, backcalculation program for layer moduli, developed in this study is based on finite element structural analysis and genetic algorithm. From the sensitivity analysis results, the genetic algorithm parameters are affected by structural and stiffness conditions of pavements. For more accurate backcalculation, the optimized genetic algorithm parameters need to be selected at each pavement condition. This study proposes the procedure for the selection of GA parameters and the reasonable ranges of GA parameters.

Keywords

References

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