The Mechanistic-Empirical Pavement Design Guide (M-E PDG) developed under the National Cooperative Highway Research Program (NCHRP) Project 1-37A integrates structural loading due to traffic with the change in material properties due to environmental effects to determine the mechanistic properties of pavement materials. These mechanistic properties are then translated to expected pavement performance through a series of transfer functions (calibration models) to estimate key pavement condition indicators over the life of the pavement. One of the key recommendations of the NCHRP study was that local calibration data should be used to validate and ‘fine tune ’ the national models that were calibrated based on long term pavement performance da...
Many agencies use the AASHTO Guide for Design of Pavement Structures to design their pavement system...
A Pavement Management System (PMS) is a decision-support tool that aids public agencies in planning ...
Pt.1: Sensitivity analysis Pt.2: Validations and local calibrationOptimization of transportation fa...
Implementation of the Mechanistic-Empirical Pavement Design Guide (MEPDG) is expected to improve the...
“AASHTO/NCHRP has spent over $7 million developing a new mechanistic-based design method (MEPDG). Th...
The generation of accurate pavement performance models is one the most difficult and sensitive activ...
The performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) are nationall...
PDFTech ReportCTRE Project 06-274Pavement performancePavement distressPavement designCalibrationLite...
The performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) are nationall...
794010505Final report; July 2006-Aug. 2009.PDFTech ReportFHWA\NC\2007-07Flexible pavementsBituminous...
PDFTech ReportFHWA-NH-RD-14282S14282S, A000(864)Mechanistic-empirical pavement designCalibrationFlex...
793655072Tech summary.PDFTech ReportLTRC Report 482Flexible pavementsDrainageAggregatesBase course (...
PDFTech ReportKS-14-17C1931Mechanistic-empirical pavement designCalibrationPavement performanceRigid...
The objective of this research is to determine whether the nationally calibrated performance models ...
PDFBriefKS-14-17Mechanistic-empirical pavement designCalibrationPavement performanceRigid pavementsF...
Many agencies use the AASHTO Guide for Design of Pavement Structures to design their pavement system...
A Pavement Management System (PMS) is a decision-support tool that aids public agencies in planning ...
Pt.1: Sensitivity analysis Pt.2: Validations and local calibrationOptimization of transportation fa...
Implementation of the Mechanistic-Empirical Pavement Design Guide (MEPDG) is expected to improve the...
“AASHTO/NCHRP has spent over $7 million developing a new mechanistic-based design method (MEPDG). Th...
The generation of accurate pavement performance models is one the most difficult and sensitive activ...
The performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) are nationall...
PDFTech ReportCTRE Project 06-274Pavement performancePavement distressPavement designCalibrationLite...
The performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) are nationall...
794010505Final report; July 2006-Aug. 2009.PDFTech ReportFHWA\NC\2007-07Flexible pavementsBituminous...
PDFTech ReportFHWA-NH-RD-14282S14282S, A000(864)Mechanistic-empirical pavement designCalibrationFlex...
793655072Tech summary.PDFTech ReportLTRC Report 482Flexible pavementsDrainageAggregatesBase course (...
PDFTech ReportKS-14-17C1931Mechanistic-empirical pavement designCalibrationPavement performanceRigid...
The objective of this research is to determine whether the nationally calibrated performance models ...
PDFBriefKS-14-17Mechanistic-empirical pavement designCalibrationPavement performanceRigid pavementsF...
Many agencies use the AASHTO Guide for Design of Pavement Structures to design their pavement system...
A Pavement Management System (PMS) is a decision-support tool that aids public agencies in planning ...
Pt.1: Sensitivity analysis Pt.2: Validations and local calibrationOptimization of transportation fa...