Prediction of asphalt concrete energy release rate from Texas Overlay Test using machine learning

Author:

Liu Fangyu1,Beheshti Masih2,Ozer Hasan2,Al-Qadi Imad L.1

Affiliation:

1. Illinois Center for Transportation, Department of Civil & Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, IL, USA

2. School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA

Funder

Federal Aviation Administration

Publisher

Informa UK Limited

Reference53 articles.

1. Predicting Pavement Structural Condition Using Machine Learning Methods

2. Development of an overlay design model for reflective cracking with and without steel reinforcing nettings;Al-Qadi I. L.;Asphalt Paving Technology,2003

3. Impact of Wide-Base Tires on Pavements: A National Study

4. Reflective cracking: Modeling fracture behavior of hot-mix asphalt overlays with interlayer systems;Baek J.;Asphalt Paving Technology-Proceedings,2009

5. A review of extended/generalized finite element methods for material modeling

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