Download or read book Implementation of the AASHTO Mechanistic empirical Pavement Design Guide and Software written by and published by . This book was released on 2014 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Proceedings Of Great Plains Agricultural Council written by and published by . This book was released on 1966* with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Mechanistic empirical Pavement Design Guide Implementation Plan written by Todd E. Hoerner and published by . This book was released on 2007 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Implementation of the AASHTO Mechanistic Empirical Design Guide AASHTOWare Pavement ME Design for Pavement Rehabilitation written by Shuvo Islam and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Mechanistic empirical Pavement Design Guide written by American Association of State Highway and Transportation Officials and published by AASHTO. This book was released on 2008 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Implementation Plan for the New Mechanistic empirical Pavement Design Guide written by Y. Richard Kim and published by . This book was released on 2007 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Implementation of the Mechanistic empirical Pavement Design Guide in Utah written by Michael I. Darter and published by . This book was released on 2009 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Highway agencies across the nation are moving towards implementation of the new AASHTO Mechanistic- Empirical Pavement Design Guide (MEPDG) for pavement design. The objective of this project was to implement the MEPDG into the daily operations of the Utah Department of Transportation (UDOT). The implementation of the MEPDG as a UDOT standard required modifications in some UDOT pavement design protocols (i.e., lab testing procedures, equipment, and protocols, traffic data reporting, software issues, design output interpretation, and others). A key requirement is validation of the MEPDG's nationally calibrated pavement distress and smoothness prediction models when applied under Utah conditions and performing local calibration if needed. This was accomplished using data from Long Term Pavement Performance (LTPP) projects located in Utah and UDOT pavement management system (PMS) pavement sections. The nationally calibrated MEPDG models were evaluated. With the exception of the new hot-mix asphalt (HMA) pavement total rutting model, all other models were found to be reasonable. The rutting model was locally calibrated to increase goodness of fit and remove significant bias. Due to the nature of the data used in model validation, it is recommended that further MEPDG model validation be accomplished in the future using a database that contains HMA pavement and jointed plain concrete pavement (JPCP) exhibiting moderate to severe deterioration. This report represents Phase II of the UDOT MEPDG implementation study and builds on the Phase I study report completed in 2005 for UDOT. The Draft User's Guide for UDOT Mechanistic-Empirical Pavement Design (UDOT Research Report No. UT-09.11a, dated October 2009) incorporates the findings of this report as inputs and pavement design guidelines for Utah for use by UDOT's pavement design engineers during trial implementation of the MEPDG"--Technical report documentation p.

Download or read book Preparation of the Implementation Plan of AASHTO Mechanistic empirical Pavement Design Guide M E PDG in Connecticut written by Iliya Yut and published by . This book was released on 2014 with total page 126 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Preparation of the Implementation Plan of AASHTO Mechanistic empirical Pavement Design Guide M EPDG in Connecticut written by Iliya Yut and published by . This book was released on 2017 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Local Calibration of the Mechanistic Empirical Pavement Design Guide for Kansas written by Abu Ahmed Sufian and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The Kansas Department of Transportation is transitioning from adherence to the 1993 American Association of State Highway and Transportation Officials (AASHTO) Pavement Design Guide to implementation of the new AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) for flexible and rigid pavement design. This study was initiated to calibrate MEPDG distress models for Kansas. Twenty-seven newly constructed projects were selected for flexible pavement distress model calibration, 21 of which were used for calibration and six that were selected for validation. In addition, 22 newly constructed jointed plain concrete pavements (JPCPs) were selected to calibrate rigid models; 17 of those projects were selected for calibration and five were selected for validation. AASHTOWare Pavement ME Design (ver. 2.2) software was used for design analysis, and the traditional split sampling method was followed in calibration. MEPDG-predicted distresses of Kansas road segments were compared with those from Pavement Management Information System data. Statistical analysis was performed using the Microsoft Excel statistical toolbox. The rutting and roughness models for flexible pavement were successfully calibrated with reduced bias and accepted null hypothesis. Calibration of the top-down fatigue cracking model was not satisfactory due to variability in measured data, and the bottom-up fatigue cracking model was not calibrated because measured data was unavailable. AASHTOWare software did not predict transverse cracking for any projects with global values. Thus thermal cracking model was not calibrated. The JPCP transverse joint faulting model was calibrated using sensitivity analysis and iterative runs of AASHTOWare to determine optimal coefficients that minimize bias. The IRI model was calibrated using the generalized reduced gradient nonlinear optimization technique in Microsoft Excel Solver. The transverse slab cracking model could not be calibrated due to lack of measured cracking data.

Download or read book Draft User s Guide for UDOT Mechanistic empirical Pavement Design written by Michael I. Darter and published by . This book was released on 2009 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Validation of the new AASHTO Mechanistic-Empirical Pavement Design Guide's (MEPDG) nationally calibrated pavement distress and smoothness prediction models when applied under Utah conditions, and local calibration of the new hot-mix asphalt (HMA) pavement total rutting model, were recently completed as documented in UDOT Research Report No. UT-09.11 Implementation of the Mechanistic-Empirical Pavement Design Guide in Utah: Validation, Calibration, and Development of the UDOT MEPDG User's Guide, dated October 2009. This Draft User's Guide incorporates the findings of the model validation and local calibration report and provides information for use by UDOT's pavement design engineers during trial implementation of the MEPDG. This information includes an overview of the MEPDG procedure, information on installation of the software, guidelines for obtaining all needed inputs, guidance to perform pavement design using the software for new and rehabilitated HMA pavement and jointed plain concrete pavement (JPCP), and pavement design examples for new HMA pavement and new JPCP using the MEPDG software.

Download or read book Implementation of AASHTOWare Pavement ME Design Software for Pavement Rehabilitation written by Shuvo Islam and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1993 version of the American Association of State Highway Transportation Officials (AASHTO) design guide has been the primary pavement design tool for state highway agencies in the United States. Recently, a mechanistic-empirical pavement design guide (MEPDG) has been developed for new and rehabilitated pavement design. MEPDG approaches have been incorporated into a proprietary design software (commonly known as AASHTOWare Pavement ME Design (PMED)) for new and rehabilitated pavement designs. The main objective of this study was to facilitate implementation of this AASHTOWare PMED software for rehabilitated pavement design in Kansas. As part of this implementation, transfer functions for translating mechanistic pavement responses into visible distresses embedded in the AASHTOWare PMED software were locally calibrated to eliminate bias and reduce standard error for rehabilitated pavements in Kansas. Rehabilitated pavement sections included asphalt concrete (AC) over AC and jointed plain concrete pavement (JPCP) sections. The PMED software requires periodic recalibration of the prediction models to account for improvements in the PMED models, changes in agency design and construction strategies, and updates in performance data. Thus, another objective of this study was to develop an automated technique for calibrating the AASHTOWare PMED software performance models. The automated methodology developed in this study incorporated robust sampling techniques to verify calibrated PMED models. In addition, a statistical equivalence testing approach was incorporated to ensure PMED-predicted performance results tend to agree with the in-situ data.

Download or read book Implementing the AASHTO Mechanistic empirical Pavement Design Guide in Missouri written by and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume I summarizes the entire research effort and documents findings from a review of MEPDG-related literature, an assessment of MoDOT's MEPDG input data needs, MoDOT's laboratory and field testing efforts, sensitivity analysis using MoDOT specific inputs, and model validation and calibration tasks. In addition, Volume I also discusses the steps MoDOT could undertake in the future to fully implement the MEPDG. Volume II presents a section-by-section comparison of the predicted and measured distresses for MoDOT-specific LTPP and State Pavement Management System sections for HMA pavements and JPCP.

Download or read book Laboratory Study of Concrete Properties to Support Implementation of the New AASHTO Mechanistic empirical Pavement Design Guide written by and published by . This book was released on 2012 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Recommended Mechanistic empirical Pavement Design Guide and Software written by National Cooperative Highway Research Program and published by . This book was released on 2004 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This digest announces the availability of key products from NCHRP Project 1-37A, 'Development of the 2002 guide for the design of new and rehabilitated pavement structures: phase II, ' for evaluation"--Page 1 excerpt

Download or read book Development of a Simplified Flexible Pavement Design Protocol for New York State Department of Transportation Based on the AASHTO Mechanistic empirical Pavement Design Guide written by Stefan Anton Romanoschi and published by . This book was released on 2017 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The New York State Department of Transportation (NYSDOT) has used the AASHTO 1993 Design Guide for the design of new flexible pavement structures for more than two decades. The AASHTO 1993 Guide is based on the empirical design equations developed from the data collected in the AASHO Road Test in the early 1960s. A newer pavement design method, called the Mechanistic-Empirical Pavement Design Guide (MEPDG), was developed by the National Cooperative Highway Research Program (NCHRP) to provide a more efficient and accurate design method that is based on sound engineering principles. The MEPDG models have been incorporated in the AASHTOWare Pavement ME Design 2.1 software program. Due to the advanced principles and design capabilities of the AASHTOWare program, NYSDOT decided to implement the MEPDG and calibrate the distress models included in the software for the conditions in the state. This report summarizes the local calibration of the distress models for the Northeast (NE) region of the United States and the development of new design tables for new flexible pavement structures. Design, performance, and traffic data collected on the Long-Term Pavement Performance (LTPP) sites in the NE region of the United States were used to calibrate the distress models. First, the AASHTOWare Pavement ME Design 2.1 with global calibration factors was used to compare the predicted and measured distress values. The local bias was assessed for all distress models except for the longitudinal cracking model; it was found the bias existed for this model even after calibration. The thermal cracking model was not calibrated because of inaccurate measured data. The calibration improved the prediction capability of the rutting, fatigue cracking, and smoothness prediction models. The calibrated AASHTOWare software was used to run design cases for combinations of traffic volume and subgrade soil stiffness (resilient modulus, Mr) for 24 locations in the state of New York. The runs were performed for a road classified as Principal Arterial Interstate, 90% design reliability level, and 15- and 20-year design periods. State-wide average traffic volume parameters and axle load spectra were used to define the traffic. The configuration specified in the current design table used by NYSDOT, which is included in the Comprehensive Pavement Design Manual (CPDM), was followed for the pavement design solutions. The thicknesses for the select granular subgrade materials and the asphalt layer thicknesses were varied to include several values higher and lower than the thickness recommended by the CPDM. The thicknesses of asphalt surface and binder layers were kept constant; only the thickness of the asphalt base layer was changed. For each design combination, the design case with the thinnest asphalt layer for which the predicted distress was less than the performance criteria was selected as the design solution. The design solutions for each of the 24 locations were assembled in design tables. The comparison of the design tables showed that some variation in the design thickness for the asphalt layers exists with thicker asphalt layers being needed for the locations in the upper part of the New York State. The comparison between the new design tables and the table included in the CPDM proved that the new design tables require thinner asphalt layers at low Annual Average Daily Truck Traffic (AADTT) and thicker asphalt layers at high AADTT than the corresponding designs in the CPDM table.

Download or read book Implementing the Mechanistic empirical Pavement Design Guide written by Brian Coree and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: