Probabilistic and Mechanistic Approaches for Pavement Analysis

Authors

  • Ming-Lou Liu
  • Yan-Chang Chen
  • Ting-Wei Yang
  • Zhong Qing Ma

Keywords:

Pavement Reliability Design, Stochastic Finite Element, Rutting, Fatigue cracking

Abstract

The pavement material properties have the variability during the construction process. and this realistic situation should be considered in the pavement analysis. In this study, the stochastic finite element is developed to investigate the effect of  design parameters variability to pavement structural and performance analysis, and the mean and variance of pavement distress are computed. In order to verify the proposed method, the LTPP database developed by FHWA in the United State is used. The statistical parameters of material properties are backcalculated from FWD test data, and the LTPP database developed by FHWA in the United State were used to find the statistical parameters of pavement. Then, the average and the variance of the response parameters such as displacements and stresses are computed, and the statistical parameters of pavement distress under traffic loading are also calculated.

 

References

Astill, C.J., S.B. Imosseir, and M. Shinozuka. 1972. Impact Loading on Structures with Random Properties, Journal of Structural Mechanics,Vol.1, 63-77 .

Achintay H., Sankaran M. 2000. “Reliability assessment using stochastic finite element analysis,†John Wiley & Sons, INC, New York.

Behzadi, G., and Yandell, W.O.1996, “Determination of elastic and plastic subgrade soil parameters for asphalt cracking and rutting predictionâ€, Transportation Research Record, 1540, pp.97-104,.

Hadidi, R. and Gucunski, N., (2007), A Probabilistic Approach to Falling Weight Deflectometer Backcalculation, In Transportation Research Record, TRB 2007 Annual Meeting CD-ROM.

Kenis, W.J. 1977. Predictive Design Procedure, VESYS User Manual- A Design Method for Flexible Pavements Using the VESYS Structural Subsystem. Proc. Fourth International Conference on Structure Design of Asphalt Pavements, University of Michigan, Ann Arbor, Michigan, Vol. 1, 101-130.

Liu, M.L. and D.S. LEE 2010. “The Stochastic Finite Element for Pavement Analysisâ€, Journal of the Eastern Asia Society for Transportation Studies, Vol. 8, pp. 1463-1473.

Long-Term Pavement Performance Information Management System 2004. Pavement Performance Database User Reference Guide, Federal Highway Administration, Report FHWA-RD-03-088.

Martin K., (2007). Generalized Perturbation-Based Stochastic Finite Element Method in elastostatics, Journal of Computers and Structures, Vol.85, 586-594.

Owen D. R. J. & E. Hinton 1980. Finite elements in plasticity, Pineridge Press Limited, Swansea, U.K.

Scullion, T., J. Uzan, and M. Paredes.1990.n. “Modulus: A Microcomputer-Based Backcalculation System.†Transportation Research Record 1260, Transportation Research Record, pp. 180-191.

Uzan, J. 1992,“Resilient Characterization of Pavement Materials,â€International Journal for Numerical and Analytical Methods in Geo-mechanics, Vol. 16, pp. 453-459

Vermeer, P. A,.1982. “A Five-Constant Model Unifying Well Established Concepts, â€International Workshopon Constitutive Relations for Soils, Grenoble, Franve, September,pp. 175-197.

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How to Cite

Liu, M.-L., Chen, Y.-C., Yang, T.-W., & Ma, Z. Q. (2015). Probabilistic and Mechanistic Approaches for Pavement Analysis. Asian Journal of Engineering and Technology, 3(3). Retrieved from https://ajouronline.com/index.php/AJET/article/view/2804

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Articles