Improving asphalt mix design by predicting alligator cracking and longitudinal cracking based on machine learning and dimensionality reduction techniques

Author:

Liu Jian,Liu Fangyu,Gong Hongren,Fanijo Ebenezer O.,Wang Linbing

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction,Civil and Structural Engineering

Reference75 articles.

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2. Application of the logit model for the analysis of asphalt fatigue tests results;Mateos;Constr. Build. Mater.,2015

3. Mechanisms of surface-initiated longitudinal wheel path cracks in high-type bituminous pavements;Myers;J. Assoc. Asphalt Paving Technol.,1998

4. Stiffness reductions of flexible pavements due to cumulative fatigue damage;Collop;J. Transp. Eng.,1996

5. F. Zhou, S. Hu, T. Scullion, Integrated asphalt (overlay) mixture design, balancing rutting and cracking requirements, Texas Transportation Institute, Texas A & M University System, 2006.

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