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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Transportation Resea...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Mechanistic-Empirical Approach for Modeling Reflection Cracking

Authors: Ahmed A. Eltahan; Robert L. Lytton;

Mechanistic-Empirical Approach for Modeling Reflection Cracking

Abstract

Models developed to predict reflective cracking in flexible pavement overlays do not explicitly incorporate the combined effect of the cracked and uncracked areas in the original pavement. This affects the development of cracks in the overlay. Therefore, a model is needed that will incorporate this factor explicitly, making predicting of cracking in pavement overlays more realistic in pavement management systems and pavement reliability. A mechanistic approach based on fracture mechanics with an empirical stochastic form to develop the desired model is presented. This approach has been adopted because the new design trends (such as the new 2002 AASHTO design guide) will follow a more mechanistic approach than the current trends. In addition, this approach is lacking in the literature for data of in-service roads. The use of the developed model for the study of crack initiation is presented. Data obtained from the Florida Department of Transportation are divided into Interstates and arterials. The results show that the proposed model predicts the observed cracking with an R 2 of 0.72 for the Interstates and 0.40 for the arterials. Because the exact time of crack initiation is not recorded, the observed crack-initiation time is approximated by the last time no cracking was observed (i.e., right before cracking was first recorded). The proposed methodology predicts the crack-initiation time with an average absolute error of 18.6 percent.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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