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Title:

Optimization of Local Calibration Coefficients of AASHTOWare Pavement ME Design Jointed Plain Concrete Pavement Performance Models

Accession Number:

01590062

Record Type:

Component

Abstract:

The Mechanistic Empirical Pavement Design Guide (MEPDG) was developed under the National Cooperative Highway Research Program (NCHRP) Project 1-37A as a novel pavement design methodology. The MEPDG evolved into DARWin-ME and, most recently, marketed as the AASHTOWare Pavement ME Design. Upon completion of national calibration of MEPDG and Pavement ME Design pavement performance prediction models, it was recommended that state highway agencies (SHAs) also conduct local calibration of the models to fully implement the software in their routine design practices. The accuracy of locally calibrated performance prediction models is dependent upon efficient and scientifically sound calibration and validation processes. A number of previous studies have focused on the local calibration of MEPDG and Pavement ME design jointed plain concrete pavement (JPCP) performance models, but very few of them have presented their optimization procedure in detail on local calibration considerations. In this study, a detailed review of JPCP transverse cracking prediction model was conducted in consultation with the developers of Pavement ME design software to identify reliable optimization procedure for local calibration. Detailed steps involved in the optimization of local calibration coefficients of the model to match the actual Iowa JPCP transverse cracking measurements are presented. The accuracy of locally calibrated JPCP transverse cracking prediction model for Iowa JPCP systems are discussed along with the optimization approaches in light of future Pavement ME design software updates.

Supplemental Notes:

This paper was sponsored by TRB committee AFD50 Standing Committee on Rigid Pavement Design. Alternate title: Local Calibration of AASHTOWare Pavement ME Design: Optimization of Jointed Plain Concrete Pavement Transverse Cracking Prediction Model Coefficients.

Monograph Accession #:

01584066

Report/Paper Numbers:

16-4138

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kaya, Orhan
Kim, Sunghwan
Ceylan, Halil
Gopalakrishnan, Kasthurirangan

Pagination:

12p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Design; Highways; Pavements; I22: Design of Pavements, Railways and Guideways

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-4138

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 5:49PM