Developing an Implementation Strategy for Virginia Department of Transportation Pavement Rehabilitation Design Using Mechanistic-Empirical Concepts - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Developing an Implementation Strategy for Virginia Department of Transportation Pavement Rehabilitation Design Using Mechanistic-Empirical Concepts write by Harikrishnan Nair. This book was released on 2022. Developing an Implementation Strategy for Virginia Department of Transportation Pavement Rehabilitation Design Using Mechanistic-Empirical Concepts available in PDF, EPUB and Kindle. The Mechanistic-Empirical Pavement Design Guide (MEPDG) was developed with an objective to provide the highway community with a state-of-the-practice tool for the design of new and rehabilitated pavement structures. The Virginia Department of Transportation (VDOT) officially adopted the MEPDG for new construction for interstate and primary routes effective January 1, 2018. For rehabilitation design, VDOT currently uses an earlier-generation AASHTO guide, the 1993 Guide for Design of Pavement Structures, but expects eventually also to implement the MEPDG for the most common scenarios. To ensure a more effective overlay design, it is imperative to conduct a local calibration/validation of design procedures and to determine the proper material inputs for both the existing and any new pavement materials that may be used in the rehabilitation. The purpose of this study was to assist VDOT in the implementation of AASHTOWare Pavement ME Design software (hereinafter “Pavement ME Design”) for the design of overlays for existing flexible, rigid, and composite pavement. The study evaluated various input levels and the need for separate local calibration factors for rehabilitation of asphalt concrete (AC) over AC, AC over jointed concrete, and AC over continuously reinforced concrete pavements using Version 2.2.6 of Pavement ME Design. The study recommends implementation of the use of the current Version 2.2.6 for rehabilitation design only after a detailed sensitivity analysis with regard to various distresses using current calibration coefficients. Further, the study recommends the promotion of detailed forensic evaluation as part of rehabilitation design for restorative maintenance projects and that VDOT consider adopting V2.6 of Pavement ME Design for new and rehabilitation design.
Mechanistic-empirical Pavement Design Guide
Mechanistic-empirical Pavement Design Guide - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mechanistic-empirical Pavement Design Guide write by American Association of State Highway and Transportation Officials. This book was released on 2008. Mechanistic-empirical Pavement Design Guide available in PDF, EPUB and Kindle.
Implementation of the AASHTO Mechanistic-Empirical Design Guide (AASHTOWare Pavement ME Design) for Pavement Rehabilitation
Implementation of the AASHTO Mechanistic-Empirical Design Guide (AASHTOWare Pavement ME Design) for Pavement Rehabilitation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Implementation of the AASHTO Mechanistic-Empirical Design Guide (AASHTOWare Pavement ME Design) for Pavement Rehabilitation write by Shuvo Islam. This book was released on 2023. Implementation of the AASHTO Mechanistic-Empirical Design Guide (AASHTOWare Pavement ME Design) for Pavement Rehabilitation available in PDF, EPUB and Kindle. 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.
Mechanistic-empirical Pavement Design Guide Implementation Plan
Mechanistic-empirical Pavement Design Guide Implementation Plan - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mechanistic-empirical Pavement Design Guide Implementation Plan write by Todd E. Hoerner. This book was released on 2007. Mechanistic-empirical Pavement Design Guide Implementation Plan available in PDF, EPUB and Kindle. As AASH is expected to eventually adopt the MEPDG at its primary pavement design method, it is critical that the SDDOT become familiar with the MEPGD documentation and associated design software. The research conducted under this project was a first step toward achieving this goal.
Development of Local Calibration Factors and Design Criteria Values for Mechanistic-Empirical Pavement Design
Development of Local Calibration Factors and Design Criteria Values for Mechanistic-Empirical Pavement Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Development of Local Calibration Factors and Design Criteria Values for Mechanistic-Empirical Pavement Design write by . This book was released on 2015. Development of Local Calibration Factors and Design Criteria Values for Mechanistic-Empirical Pavement Design available in PDF, EPUB and Kindle. A mechanistic-empirical (ME) pavement design procedure allows for analyzing and selecting pavement structures based on predicted distress progression resulting from stresses and strains within the pavement over its design life. The Virginia Department of Transportation (VDOT) has been working toward implementing ME design by characterizing traffic and materials inputs, training with the models and design software, and analyzing current pavement designs in AASHTOware Pavement ME Design software. This study compared the measured performance of asphalt and continuously reinforced concrete pavements (CRCP) from VDOTs Pavement Management System (PMS) records to the predicted performance in AASHTOware Pavement ME Design. Model coefficients in the software were adjusted to match the predicted asphalt pavement permanent deformation, asphalt bottom-up fatigue cracking, and CRCP punchout outputs to the measured values from PMS records. Values for reliability, design life inputs, and distress limits were identified as a starting point for VDOT to consider when using AASHTOware Pavement ME Design through consideration of national guidelines, existing VDOT standards, PMS rating formulas, typical pavement performance at time of overlay, and the data used for local calibration. The model calibration coefficients and design requirement values recommended in this study can be used by VDOT with AASHTOware Pavement ME Design as a starting point to implement the software for design, which should allow for more optimized pavement structures and improve the long-term performance of pavements in Virginia.
