Data-driven approaches for asphalt concrete mix design and performance modeling

By Linbing Wang on 03/07/2024 from 2:00 p.m. to 3:00 p.m. in 1611 Titan Dr., Rantoul, IL 61866

Join Linbing Wang, of the University of Georgia, as he presents in person at the Spring 2024 Kent Seminar Series Thursday, March 7, from 2-3 p.m. (CT).

The Spring 2024 semester is set to feature 14 presentations, each addressing a topic related to modeling and mechanics in transportation. See the full lineup of speakers for Spring 2024.

Pizza and soft drinks will be provided beginning at 1:30 p.m. in the ICT Classroom. 

All presentations will be held on Zoom, but some speakers will present in person at ICT.

Join Zoom Meeting 
https://illinois.zoom.us/j/89226656958?pwd=bzRFbnM4Y0hrdlJ5TFZ2M2xlbStUQT09

Meeting ID: 892 2665 6958
Password: 535829

Abstract and Bio

The primary goals of pavement research and engineering involve determining the volumetric parameters and mechanical properties of asphalt concrete, along with predicting its field performance. Laboratory and field performance test results of numerous mixes are widely available in literature and databases. Similar mix design methods typically aim for high performance in areas like rutting and fatigue cracking, providing implicit constraints for data consistency. This presentation focuses on employing machine learning approaches to analyze mix design data from diverse sources. The objective is to identify optimal asphalt content and predict field performances concerning rutting, fatigue cracking, and the International Roughness Index (IRI).

Wang, professor and director of both the Sensing and Perception Lab and the Safe and Green Mobility Living Lab at the University of Georgia, specializes in multiscale characterization, modeling, and simulation. His work also focuses on material genome and performance predictions, as well as sensor and IoT sensor networks for structural health monitoring and safety. Wang, the founding chair of the Committee on Mechanics of Pavements and a former chair of the Nanomechanics and Micromechanics committee, is a fellow of ASCE and EMI.