01552270

Component

https://doi.org/10.3141/2524-06

AASHTOWare Pavement ME Design, software developed from the AASHTO Mechanistic–Empirical Pavement Design Guide (MEPDG), uses performance data extracted primarily from the long-term pavement performance database to calibrate the performance prediction models for rigid pavements. In this study, factorial designs were generated as a subset of the national rigid pavement database for calibration of the MEPDG rigid pavement performance models. Three separate factorial designs were included for each rigid pavement performance model for (a) jointed plain concrete pavement (JPCP) transverse cracking, (b) JPCP faulting (doweled and undoweled), and (c) continuously reinforced concrete pavement punchouts. Experimental design variables for each model were selected to provide the broadest possible representation of key design, construction, and environmental features. The three performance models were then calibrated with the developed factorial matrices. The results were presented along with the calibration procedure. A validation of the calibrated models was then conducted with sites not included in the factorial matrices. An evaluation compared design slab thicknesses required to meet specified performance criteria determined with these and other previously established calibration coefficients. Finally, conclusions and recommendations based on the experiences gained conducting this study are provided.

01593959

15-4145

English

pp 59–67

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369534

Print

Figures (2) ; References (4) ; Tables (9)

Calibration; Mathematical prediction; Mechanistic-empirical pavement design; Pavement performance; Rigid pavements; Validation

Mechanistic-Empirical Pavement Design Guide

Long term performance

Design; Highways; Pavements; Planning and Forecasting

PRP, TRIS, TRB, ATRI

Dec 30 2014 1:21PM

• Achieving Safer Roads Through the Use of System Dynamics and Porous Friction Courses
• Alternative Source of Climate Data for Mechanistic–Empirical Pavement Performance Prediction
• Characterization of Load Transfer Behavior for Bonded Concrete Overlays on Asphalt
• Comparison of Full-Depth Reclamation with Portland Cement and Full-Depth Reclamation with No Stabilizer in Accelerated Loading Test
• Comprehensive Model for Fatigue Analysis of Flexible Pavements Considering Effects of Dynamic Axle Loads
• Development of Predictive Models for Initiation and Propagation of Field Transverse Cracking
• Effects of Binder, Curing Time, Temperature, and Trafficking on Moduli of Stabilized and Unstabilized Full-Depth Reclamation Materials
• Evaluation and Implementation of PG 76-22 Asphalt Rubber Binder in Florida
• Evaluation of Effects of Variations in Aggregate Base Layer Properties on Flexible Pavement Performance
• Initial Performance of Virginia’s Interstate 81 In-Place Pavement Recycling Project
• Investigation of Different Methods for Obtaining Asphalt Mixture Creep Compliance for Use in Pavement Mechanistic–Empirical Design Software
• Life-Cycle Cost–Based Decision Framework for Failed Portland Cement Concrete Pavement Materials in Indiana
• Mechanism of Transverse Crack Development in Continuously Reinforced Concrete Pavement at Early Ages
• State Design Procedure for Rigid Pavements Based on the AASHTO Mechanistic–Empirical Pavement Design Guide