主讲人：Linbing Wang

邀请人：朱兴一教授

时间：2024年6月13日（周四）上午10:00-11:30

地点：通达馆103会议室

主讲人简介：

Dr. Linbing Wang is a professor and the director for the Sensing and Perception Lab, and the Safe and Green Mobility Living Lab at University of Georgia. He is the founding chair of the Committee on Mechanics of Pavements, former Chair of the Nanomechanics and Micromechanics committee, a Fellow of ASCE and EMI. Dr. Wang’s research interests include multiscale characterization, modeling and simulation; material genome and performance predictions; sensor and IoT sensor network for structural health monitoring and safety.

主讲内容简介：

Determination of asphalt concrete volumetric parameters and mechanical properties and predicting its field performance are the major objectives of pavement research and engineering. Laboratory and field performance test results of numerous mixes are widely available in literature and databases. The common objectives and criteria of similar mix design methods to achieve superior performance in rutting and fatigue cracking are implicit constraints to ensure data consistency. The presentation will be on how to use machine learning approaches to analyze mix design data from different resources for determining optimal asphalt content and predicting field performances of rutting, fatigue cracking and IRI.

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