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Title:

Improving Pavement ME Thermal Cracking Prediction Using Mix-Specific Calibration Coefficients for Michigan

Accession Number:

01661576

Record Type:

Component

Abstract:

Local calibration of the TCMODEL implemented in the Pavement ME software is challenging for many States. This is primarily because the results of TCMODEL model are extremely sensitive to asphalt binder and mixtures properties. Due to the nature of its mathematical formulation, the model is extremely sensitive to the fracture parameter n, which is affected significantly by the Performance Grade (PG) of the asphalt binder. By simply changing the low PG by one grade, TCMODEL can predict zero cracking from maximum amount of cracking possible. However, this level of sensitivity is not observed in the field. Since the model itself cannot be modified in the Pavement ME software, its sensitivity may be adjusted by using mix-specific local calibration coefficient (K). A sensitivity analysis of the TCMODEL revealed that a unique K-value for the entire State of Michigan results in poor predictions of the thermal cracking progression with respect to the field data. However, the use of mix-specific K-value seems to overcome this problem and provides very good predictions. Multi-Gene Genetic Programming (MGGP) technique was used to develop a simple equation to predict K from certain parameters that designers can obtain easily. These included Superpave mix design traffic level, low binder PG, pavement thickness, target air voids and optimum binder content in hot mix asphalt (HMA) job mix formula, indirect tensile strength (psi), and slope of logarithm of |E*| versus temperature curve (at 25 Hz).

Supplemental Notes:

This paper was sponsored by TRB committee AFD60 Standing Committee on Design and Rehabilitation of Asphalt Pavements.

Report/Paper Numbers:

18-05074

Language:

English

Authors:

Lanotte, Michele A
Kutay, M Emin
Haider, Syed W
Musunuru, Gopi Krishna

Pagination:

5p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Geographic Terms:

Michigan

Subject Areas:

Highways; Pavements

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05074

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:16AM