01015517

Component

https://doi.org/10.3141/1919-15

http://scholar.google.com...+Kim&publication_year=2005

The release of the "Mechanistic–Empirical Design Guide for New and Rehabilitated Pavement Structures" (M-E design guide) generated a new paradigm for designing and analyzing pavement structures. It is expected to replace the commonly used empirical design methodologies. The M-E design guide uses a comprehensive suite of input parameters deemed necessary to design pavements with high reliability and to predict pavement performance and distresses realistically. However, the considerable amount of input needed and the selection of the corresponding reliability level for each might present state highway agencies with complexities and challenges in its implementation. An overview is presented of ongoing investigative studies, sensitivity analyses, and preimplementation initiatives conducted by the Indiana Department of Transportation (INDOT) in an effort to accelerate the adoption of the new pavement design guide by efficiently using existing design parameters and determining those parameters that influence the predicted performance the most. Once the sensitive inputs are identified, the large amount of other required design input parameters can be significantly reduced to a manageable level for implementation purposes. A matrix of trial runs conducted with the M-E design guide software suggests that a higher design level input does not necessarily guarantee a higher accuracy in predicting pavement performance. The software runs also confirmed the need to use input values obtained from local rather than national calibration. Such findings are important for state highway agencies such as INDOT in drafting initiatives for implementing the M-E design guide.

01015500

English

pp 142-151

2005

Transportation Research Record: Journal of the Transportation Research Board

0309093929

Print

Figures (4) ; References (3) ; Tables (3)

Accuracy; Evaluation and assessment; Implementation; Mathematical prediction; Mechanistic design; Pavement design; Pavement performance; Software

Indiana Department of Transportation

Indiana

Data and Information Technology; Design; Highways; Pavements; Research; I22: Design of Pavements, Railways and Guideways; I23: Properties of Road Surfaces

TRIS, TRB

Jan 13 2006 3:00PM

• Analytical Study of Effects of Truck Tire Pressure on Pavements with Measured Tire-Pavement Contact Stress Data
• Calibration of Alligator Fatigue Cracking Model for 2002 Design Guide
• Closed-Form, Six-Slab, Thick-Plate Solution for Analysis of Edge Slab of Concrete Pavement
• Concrete-Filled, Glass Fiber-Reinforced Polymer Dowels for Load Transfer in Jointed Rigid Pavements
• Engineering Solution for the Uniform Strength of Partially Cracked Concrete
• Enhanced Portland Cement Concrete Fatigue Model for StreetPave
• Estimating the Sensitivity of Design Input Variables for Rigid Pavement Analysis with a Mechanistic-Empirical Design Guide
• Evaluation of Predicted Pavement Response with Measured Tire Contact Stresses
• Field and Theoretical Evaluation of Thermal Fatigue Cracking in Flexible Pavements
• Implementing the Mechanistic-Empirical Design Guide Procedure for a Hot-Mix Asphalt-Rehabilitated Pavement in Indiana
• Improvements of Testing Procedures for Concrete Coefficient of Thermal Expansion
• Measurement and Significance of the Coefficient of Thermal Expansion of Concrete in Rigid Pavement Design
• Predicting Asphalt Pavement Temperature with a Three-Dimensional Finite Element Method
• Quantification of the Joint Effect of Wheel Load and Tire Inflation Pressure on Pavement Response
• Strategic Plan of the Texas Department of Transportation for Implementing NCHRP 1-37A Pavement Design Guide
• Stress Prediction for Cracking of Jointed Plain Concrete Pavements, 1925-2000: An Overview