Implementation of AASHTOWare Pavement ME Design Software for Pavement Rehabilitation

Implementation of AASHTOWare Pavement ME Design Software for Pavement Rehabilitation
Author: Shuvo Islam
Publisher:
Total Pages:
Release: 2019
Genre:
ISBN:

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.

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
Author: Shuvo Islam
Publisher:
Total 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.

Developing an Implementation Strategy for Virginia Department of Transportation Pavement Rehabilitation Design Using Mechanistic-Empirical Concepts

Developing an Implementation Strategy for Virginia Department of Transportation Pavement Rehabilitation Design Using Mechanistic-Empirical Concepts
Author: Harikrishnan Nair
Publisher:
Total Pages: 56
Release: 2022
Genre: Pavements--Design and construction
ISBN:

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.

Investigation of AASHTOWare Pavement ME Design/DARWin-ME Performance Prediction Models for Iowa Pavement Analysis and Design

Investigation of AASHTOWare Pavement ME Design/DARWin-ME Performance Prediction Models for Iowa Pavement Analysis and Design
Author: Halil Ceylan
Publisher:
Total Pages: 213
Release: 2015
Genre: Computer software
ISBN:

The Mechanistic-Empirical Pavement Design Guide (MEPDG) was developed under National Cooperative Highway Research Program (NCHRP) Project 1-37A as a novel mechanistic-empirical procedure for the analysis and design of pavements. The MEPDG was subsequently supported by AASHTO's DARWin-ME and most recently marketed as AASHTOWare Pavement ME Design software as of February 2013. Although the core design process and computational engine have remained the same over the years, some enhancements to the pavement performance prediction models have been implemented along with other documented changes as the MEPDG transitioned to AASHTOWare Pavement ME Design software. Preliminary studies were carried out to determine possible differences between AASHTOWare Pavement ME Design, MEPDG (version 1.1), and DARWin-ME (version 1.1) performance predictions for new jointed plain concrete pavement (JPCP), new hot mix asphalt (HMA), and HMA over JPCP systems. Differences were indeed observed between the pavement performance predictions produced by these different software versions. Further investigation was needed to verify these differences and to evaluate whether identified local calibration factors from the latest MEPDG (version 1.1) were acceptable for use with the latest version (version 2.1.24) of AASHTOWare Pavement ME Design at the time this research was conducted. Therefore, the primary objective of this research was to examine AASHTOWare Pavement ME Design performance predictions using previously identified MEPDG calibration factors (through InTrans Project 11-401) and, if needed, refine the local calibration coefficients of AASHTOWare Pavement ME Design pavement performance predictions for Iowa pavement systems using linear and nonlinear optimization procedures. A total of 130 representative sections across Iowa consisting of JPCP, new HMA, and HMA over JPCP sections were used. The local calibration results of AASHTOWare Pavement ME Design are presented and compared with national and locally calibrated MEPDG models.

Guide for the Local Calibration of the Mechanistic-empirical Pavement Design Guide

Guide for the Local Calibration of the Mechanistic-empirical Pavement Design Guide
Author:
Publisher: AASHTO
Total 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.

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
Author: Bryan Smith
Publisher:
Total Pages: 0
Release: 2015
Genre: Pavements
ISBN:

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.

Development of DARWin-ME Design Guideline for Louisiana Pavement Design

Development of DARWin-ME Design Guideline for Louisiana Pavement Design
Author: Zhong Wu
Publisher:
Total Pages: 180
Release: 2016
Genre: Technology & Engineering
ISBN:

"Abstract: The AASHTOWare Pavement METM Design is the next generation of AASHTO pavement design software, which builds upon the newly developed NCHRP Mechanistic-Empirical Pavement Design Guide (MEPDG). Pavement METM reflects a major change in the methods and procedures engineers use to design pavement structure and represents the most current advancements in pavement design. In preparation for DOTD to adopt the new design guide, there is an urgent need to evaluate the MEPDG pavement design software based on typical Louisiana pavement structures and local conditions. This study selected a total of 162 projects (pavement sections) from the existing DOTD highway network for the evaluation of MEPDG pavement design, local calibration, and validation of Pavement ME in Louisiana. The selected projects consisted of flexible pavements with five types of base (asphalt concrete base, rubblized PCC base, crushed stone or recycled PCC base, soil cement base, and stabilized base with a stone interlayer), rigid pavements with three types of base (unbound granular base, stabilized base, and asphalt mixture blanket), and HMA overlay on top of existing flexible pavements. Pavement design information including structure, materials, and traffic were retrieved from multiple network-level data sources at DOTD. A Louisiana default input strategy of Pavement ME that reflects Louisiana’s condition and practice was developed from results of sensitivity analysis. In addition, based on a consensus distress survey and pavement management system (PMS) distress triggers, the design reliability and performance criteria were established for different highway classes in Louisiana. The predicted performance from the Pavement ME was then compared with the corresponding measured performance retrieved from PMS. The analysis results indicate that the Pavement ME’s nationally-calibrated distress models generally under-predict alligator cracking, but over-predict rutting for DOTD’s flexible pavement types. For rigid pavements, Pavement ME over-predicts slab cracking but under-predicts joint faulting. For those nationally-calibrated distress models that showed constant bias and large variation, local calibration was carried out against the performance data retrieved from PMS. After the local calibration, the Pavement ME designs were verified by additional projects outside of the evaluation projects’ pool. Based on the results of this study, an implementation guideline document was prepared. The document contains all necessary design input information and calibration coefficients for DOTD to use the latest MEPDG software on a day to day basis for design and analysis of new and rehabilitated pavement structures in Louisiana."--Technical report documentation page.