01373187

Component

https://doi.org/10.3141/2305-14

http://scholar.google.com...+Kim&publication_year=2012

The "Mechanistic–Empirical Pavement Design Guide" (MEPDG) is the state-of-the-practice pavement analysis software developed under NCHRP Project 1-37A. Recently, AASHTO announced the first commercial version of the software, DARWin-ME, to replace the 1993 AASHTO design guide DARWin software. The MEPDG and DARWin-ME use similar models for predicting rutting and bottom-up fatigue cracking. Both distress models were nationally calibrated with measured performance data collected from hundreds of long-term pavement performance sections across the United States and Canada. Verification work indicated that these nationally calibrated models did not reflect North Carolina’s local materials, construction practices, and local traffic. Therefore, the performance models must be recalibrated to reflect local conditions. The scope includes rutting and alligator cracking in flexible pavements. The development of rutting and fatigue model coefficients (k-values) is investigated for 12 commonly used hot-mix asphalt (HMA) mixtures in North Carolina, and two approaches for recalibrating the rutting and fatigue cracking model coefficients (β-factors) are compared to reflect local materials and conditions. The two optimization methods evaluated are generalized reduced gradient (GRG) and genetic algorithm (GA) optimization. Results indicate that rutting and fatigue cracking k-values for North Carolina HMA mixtures are generally different from national averages. The GA optimization method does a better job of predicting local distresses than do the GRG method and nationally calibrated models.

01470561

12-2885

English

pp 131–140

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263139

Print

Figures; References; Tables

Alligator cracking; Calibration; Fatigue cracking; Flexible pavements; Genetic algorithms; Hot mix asphalt; Optimization; Pavement distress; Rutting

DARWin-ME (Computer program); Mechanistic-Empirical Pavement Design Guide

Local conditions

North Carolina

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways

TRIS, TRB, ATRI

Feb 8 2012 5:12PM

• Comparison of Design Thicknesses for Flexible Airfield Pavement Based on Agency Limiting Subgrade Strain Criteria
• Concrete Pavement Joint Diagnostics with Ultrasonic Tomography
• Development of Mechanistic–Empirical Design Procedure for Fully Permeable Pavement Under Heavy Traffic
• Establishing Effective Linear Temperature Gradients for Ultrathin Bonded Concrete Overlays on Asphalt Pavements
• Evaluating the Effect of Concrete Slab Curling on Joint Load Transfer Responses
• Evaluation of Representative Loading Frequency for Linear Elastic Analysis of Asphalt Pavements
• Improved Mechanistic–Empirical Continuously Reinforced Concrete Pavement Design Approach with Modified Punchout Model
• Induction Healing of Porous Asphalt
• Joint Load Transfer and Support Considerations for Jointed Precast Concrete Pavements
• Load and Resistance Factors and Design Parameter Offsets for "Mechanistic–Empirical Pavement Design Guide"
• Method for Evaluating Implications of Climate Change for Design and Performance of Flexible Pavements
• Modification of "Mechanistic–Empirical Pavement Design Guide" Procedure for Two-Lift Composite Concrete Pavements
• New Warping and Differential Drying Shrinkage Models for Jointed Plain Concrete Pavements Derived with Nonlinear Shrinkage Distribution
• Rational Use of Terminal Anchorages in Portland Cement Concrete Pavement
• Reliability-Based Mechanistic–Empirical Pavement Design with Statistical Methods
• Streamlining Use of "Mechanistic–Empirical Pavement Design Guide"
• Structural Coefficient of Open-Graded Friction Course