Validation of pavement performance curves for the mechanistic-empirical pavement design guide.

Ceylan, Halil; Kim, Sunghwan; Gopalakrishnan, Kasthurirangan; Smadi, Omar

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Validation of pavement performance curves for the mechanistic-empirical pavement design guide.

2009-02-01
By Ceylan, Halil ; Kim, Sunghwan ; Gopalakrishnan, Kasthurirangan

File Language:

English

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Creators:

Ceylan, Halil ; Kim, Sunghwan ; Gopalakrishnan, Kasthurirangan ; Smadi, Omar
Corporate Creators:

Iowa State University. Center for Transportation Research and Education
Corporate Contributors:

Iowa. Dept. of Transportation
Subject/TRT Terms:
Publication/ Report Number:

CTRE Project 06-274
Resource Type:

Tech Report
Geographical Coverage:

Iowa
Corporate Publisher:

Iowa State University. Institute for Transportation
Abstract:

The objective of this research is to determine whether the nationally calibrated performance models used in the Mechanistic-Empirical ; Pavement Design Guide (MEPDG) provide a reasonable prediction of actual field performance, and if the desired accuracy or ; correspondence exists between predicted and monitored performance for Iowa conditions. A comprehensive literature review was ; conducted to identify the MEPDG input parameters and the MEPDG verification/calibration process. Sensitivities of MEPDG input ; parameters to predictions were studied using different versions of the MEPDG software. Based on literature review and sensitivity ; analysis, a detailed verification procedure was developed. A total of sixteen different types of pavement sections across Iowa, not used ; for national calibration in NCHRP 1-47A, were selected. A database of MEPDG inputs and the actual pavement performance measures ; for the selected pavement sites were prepared for verification. The accuracy of the MEPDG performance models for Iowa conditions ; was statistically evaluated. The verification testing showed promising results in terms of MEPDG’s performance prediction accuracy for ; Iowa conditions. Recalibrating the MEPDG performance models for Iowa conditions is recommended to improve the accuracy of ; predictions.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/26376/dot_26376_DS1.pdf
File Type:

[PDF - 1.68 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:64221fa9d3de2b23bfcec9808efba6b3e8474f0acff573dc87f9586fbda61f8a3035189ddf9a8814a2b04bd2ca36258fc68033e60c92e6cf397b0e7a784a0e1e

File Language:

English

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