Citation:
Mirzaiyanrajeh D, Dave EV, Sias JE, Ramsey P. Developing a prediction model for low-temperature fracture energy of asphalt mixtures using machine learning approach. INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING [Internet]. 2022.
Eshan V. Dave
Associate Professor of Civil and Environmental Engineering
College of Engineering and Physical Science
University of New Hampshire
Visit Dr. Dave's Scholar and Professional Profiles
Recent Publications
- Black Space Rheological Assessment of Asphalt Material Behavior
- Recommendation of RILEM TC 264 RAP on the evaluation of asphalt recycling agents for hot mix asphalt
- Development of new performance indices to evaluate the fatigue properties of asphalt binders with ageing
- Assessment of Asphalt Mixture Disk-Shaped Compact Tension Test Indexes for Reflective Cracking Performance
- Developing a prediction model for low-temperature fracture energy of asphalt mixtures using machine learning approach
- Experimental Investigation on Water Loss and Stiffness of CBTM Using Different RA Sources