Development of a Regional Pavement Performance Database for the AASHTO Mechanistic-empiricle [sic] Pavement Design Guide: Sensitivity analysis
Title | Development of a Regional Pavement Performance Database for the AASHTO Mechanistic-empiricle [sic] Pavement Design Guide: Sensitivity analysis PDF eBook |
Author | Swetha Kesiraju |
Publisher | |
Pages | 60 |
Release | 2007 |
Genre | AASHTO guide for design of pavement structures |
ISBN |
Development of a Regional Pavement Performance Database for the AASHTO Mechanistic-empiricle [sic] Pavement Design Guide: Validation and local calibration
Title | Development of a Regional Pavement Performance Database for the AASHTO Mechanistic-empiricle [sic] Pavement Design Guide: Validation and local calibration PDF eBook |
Author | Swetha Kesiraju |
Publisher | |
Pages | 96 |
Release | 2007 |
Genre | AASHTO guide for design of pavement structures |
ISBN |
Development of a Regional Pavement Performance Database for the AASHTO Mechanistic-empiricle [sic] Pavement Design Guide
Title | Development of a Regional Pavement Performance Database for the AASHTO Mechanistic-empiricle [sic] Pavement Design Guide PDF eBook |
Author | Swetha Kesiraju |
Publisher | |
Pages | |
Release | 2007 |
Genre | AASHTO guide for design of pavement structures |
ISBN |
Mechanistic-empirical Pavement Design Guide
Title | Mechanistic-empirical Pavement Design Guide PDF eBook |
Author | American Association of State Highway and Transportation Officials |
Publisher | AASHTO |
Pages | 218 |
Release | 2008 |
Genre | Pavements |
ISBN | 156051423X |
Implementation of the AASHTO Mechanistic-Empirical Design Guide (AASHTOWare Pavement ME Design) for Pavement Rehabilitation
Title | Implementation of the AASHTO Mechanistic-Empirical Design Guide (AASHTOWare Pavement ME Design) for Pavement Rehabilitation PDF eBook |
Author | Shuvo Islam |
Publisher | |
Pages | 0 |
Release | 2023 |
Genre | |
ISBN |
The AASHTOWare Pavement ME Design (PMED) is a novel design method for new and rehabilitated pavement designs based on mechanistic-empirical design principles. The design process includes several empirical models calibrated with pavement performance data from pavement sections throughout the United States. Improved accuracy of the design process requires that the models be calibrated to local conditions. Therefore, the objective of this study was to implement the AASHTOWare PMED software for rehabilitated pavement design by performing local calibration for state-managed roads in Kansas, New Jersey, and Maine. Transfer functions for translating mechanistic pavement responses into visible distresses embedded in the AASHTOWare PMED software were locally calibrated to eliminate bias and reduce the standard error for rehabilitated pavements in Kansas and New York. Calibration was performed using version 2.5 and then verified with version 2.6.2.2, which was released in September 2022. Rehabilitated pavement sections included asphalt concrete (AC) over AC in Kansas and the New England region and jointed plain concrete pavement (JPCP) sections in Kansas. Because the PMED software requires periodic recalibration of the prediction models to account for improvements in the models, changes in agency design and construction strategies, and updates in performance data, this study also developed an automated technique for calibrating the AASHTOWare PMED software performance models. This automated methodology incorporated robust sampling techniques to verify calibrated PMED models. In addition, statistical equivalence testing was incorporated to ensure PMED-predicted performance results tended to agree with the in-situ data. A comparison of results for the AASHTOWare PMED versions 2.5 and 2.6.2.2 showed that most predicted distress values in Kansas remained the same, except for the predicted AC total fatigue cracking, specifically asphalt bottom-up fatigue cracking. For both distress types, slightly higher values were obtained with version 2.6.2.2. Results of three candidate crack tests showed that IDEAL-CT test results can be used as cracking-resistance criterion for mixtures in Kansas. The rehabilitation models were also successfully calibrated for the New England region.
Guide for the Local Calibration of the Mechanistic-empirical Pavement Design Guide
Title | Guide for the Local Calibration of the Mechanistic-empirical Pavement Design Guide PDF eBook |
Author | |
Publisher | AASHTO |
Pages | 202 |
Release | 2010 |
Genre | Technology & Engineering |
ISBN | 1560514493 |
This guide provides guidance to calibrate the Mechanistic-Empirical Pavement Design Guide (MEPDG) software to local conditions, policies, and materials. It provides the highway community with a state-of-the-practice tool for the design of new and rehabilitated pavement structures, based on mechanistic-empirical (M-E) principles. The design procedure calculates pavement responses (stresses, strains, and deflections) and uses those responses to compute incremental damage over time. The procedure empirically relates the cumulative damage to observed pavement distresses.
Implementation of the AASHTO Mechanistic-empirical Pavement Design Guide and Software
Title | Implementation of the AASHTO Mechanistic-empirical Pavement Design Guide and Software PDF eBook |
Author | |
Publisher | |
Pages | 84 |
Release | 2014 |
Genre | Pavements |
ISBN |
Introduction -- Mechanistic-Empirical Pavement Design Guide and AASHTOWare Pavement ME Design (TM) Software Overview -- Survey of Agency Pavement Design Practices -- Common Elements of Agency Implementation Plans -- Case Examples of Agency Implementation -- Conclusions.