Evaluation of Laboratory, Construction, and Performance Variability by Bootstrapping and Monte Carlo Methods for Rutting Performance Prediction of Heavy Vehicle Simulator Test Sections

Author:

Coleri Erdem12,Harvey John T.12

Affiliation:

1. Postdoctoral Scholar, Univ. of California Pavement Research Center, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616 (corresponding author).

2. Professor, Univ. of California Pavement Research Center, Dept. of Civil and Environmental Engineering, Univ. of California, Davis, One Shields Ave., Davis, CA 95616.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference25 articles.

1. AASHTO. (2003). “Standard method of test for determining the permanent shear strain and stiffness of asphalt mixtures using the Superpave shear tester (SST): Designation T320.” AASHTO provisional standards Washington DC.

2. Nonlinear Regression Analysis and Its Applications

3. Bejarano M. Jones D. Morton B. and Scheffy C. (2005). “Reflective cracking study: Initial construction phase 1 HVS testing and overlay construction.” Rep. prepared for the California Dept. of Transportation (Caltrans) Division of Research and Innovation by the Univ. of California Pavement Research Center UCPRC-RR-2005-03 Davis and Berkeley.

4. Coleri E. Tsai B. W. and Monismith C. L. (2008). “Pavement rutting performance prediction by integrated Weibull approach.” Transportation Research Record: Journal of the Transportation Research Board No. 2087 Transportation Research Board of the National Academies Washington DC 120–130.

5. Deacon J. A. Harvey J. T. Guada I. Popescu L. and Monismith C. L. (2002). “Analytically based approach to rutting prediction.” Transportation Research Record: Journal of the Transportation Research Board No. 1806 Transportation Research Board of the National Academies Washington DC.

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