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Articles

Preliminary calibration and validation of the Texas Mechanistic-Empirical flexible pavement design

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Pages 3879-3891 | Received 17 Feb 2021, Accepted 30 Apr 2021, Published online: 20 May 2021
 

ABSTRACT

This paper presents a concise approach for calibrating the damage models in the TxME, a mechanistic–empirical flexible pavement design model developed for Texas. The models calibrated are rutting, bottom-up fatigue cracking and transverse (thermal) cracking. Pavement performance observations from the Texas Department of Transportation (TxDOT) maintained Data Storage System (DSS) were used for this purpose. Prior to calibration, Analysis of Variance (ANOVA) was used to establish similar groups of sections in terms of structural, traffic and environmental conditions. For the rutting model, the layer calibration coefficients weighed plastic deformations linearly, hence it was possible to establish them by minimising the sum of the squared errors (SSE) between the estimated and observed surface (i.e. total) rutting using the generalised gradient method (GRG) through the MS® Excel solver. For the fatigue cracking model, calibration focused on the transfer function between the accumulated fatigue damage and the observed fatigue cracked area. Curve fitting was done using the bi-square robust algorithms in MATLAB®. For the transverse cracking model, the exponent of the pavement life ratio ρ/m was established through curve-fitting on transverse cracking observations. In general, the calibration resulted in significant quality of fit improvements.

Data availability statement

The source of the data used in this study was obtained from the Data Storage System (DSS), a pavement database maintained by the Texas Department of Transportation. This database may be available to the public upon request.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Disclaimer

The contents of this paper reflect the views of the authors who are solely responsible for the facts and accuracy of the data presented herein and do not necessarily reflect the official views or policies of any agency or institute. This paper does not constitute a standard, specification, nor is it intended for design, construction, bidding, contracting, tendering, certification or permit purposes. Trade names were used solely for information purposes and not for product endorsement, advertisement, promotion or certification.

Additional information

Funding

Funding for this study was provided by the Texas Department of Transportation.

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