KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
권호 표지

Development of a Backcalculation Method for Estimating Pavement Layer Modulus Using the Genetic Algorithm Part II : Verification and Validation

유전자 알고리즘을 이용한 포장층 탄성계수 역해석 기법 개발 Part II : 검증 및 확인

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

  • Published : 20070700

⟨ Previous Next ⟩

Abstract

The backcalculation program developed using genetic algorithm and finite element analysis has been verified in this study. A comparison study with MODULUS, EVERCALC program and other GA operators was conducted. To validate the selection procedure of genetic algorithm parameters. It was found that the use of GA operators suggested by the author can improve the prediction accuracy in backcalculating the pavement layer moduli. FWD deflection and resilient modulus test data obtained from Long-Term Pavement Performance database were used for evaluating the performance of the GAPAVE program. Backcalculated asphalt concrete layer moduli and subgrade moduli were good agreement with measured ones. However, there is large discrepancies between predicted and measured subbase moduli. The multi-load level FWD data were used for estimating the nonlinearity of granular material moduli and it is observed that subbase moduli were highly dependent on stress level.

Keywords

References

  1. 건설교통부(2004) 아스팔트 포장체의 구조적 적정성 및 상태평가 시스템 개발, 연구보고서
  2. DataPave 3.0 Long Term Pavement Performance CD ROM (2001) FHWA, U. S. Department of Transportation
  3. Fwa, T.F., Tan, C.Y, and Chan, W.T. (1997), Backcalculation analysis of pavement layer moduli using genetic algorithms. In Transportation Research Record 1570, TRB, National Research Council. Washington D.C., pp. 134-142
  4. NHI (1994) NHI Course No. 137, Pavement Deflection Analysis Participant Workbook, FHWA-HI-94-021, FHWA, U.S. Department of Transportation
  5. Park, H.M., Kim, Y.R., and Park, S.W. (2005) Assessment of pavement layer condition with use of multiload-Ievel falling weight deflectometer deflections, In Transportation Research Record 1905, TRB, National Research Council, Washington D.C., pp. 107-116
  6. Reddy, M.A., Reddy, K.S., and Pandey, B.B. (2004) Selection of genetic algorithm parameters for backcalculation of pavement moduli. The International Journal of Pavement Engineering, Vol. 5, No.2, pp. 81-90 https://doi.org/10.1080/10298430412331309106
  7. Stubstad, R.N., Jiang, Y.J., and Lukanen, E.O. (2006) Guidelines for review and evaluation of backcalculation results, FHWARD- 05-152, FHWA, US. Department of Transportation, Long Term Pavement Performance