1月12日香港城市大学王剑锋副教授学术报告通知

发布时间: 2018-01-09

报告题目:Recent advances in the experimental and numerical studies on the micromechanics of the crushable sands

报告人:王剑锋  副教授,香港城市大学

时间:2018年1月12日(星期五)上午10:00

地点:国家重点实验室学术报告厅(农水楼一楼)


报告人简介:

      Dr. Wang has developed his main expertise in the field of micromechanics of granular soils. His research aims to explore the multiscale physics and mechanics underlying the macroscopic soil behavior using the discrete element method (DEM) simulation and X-ray computed tomography (CT). His works over the past 15 years include the X-ray CT characterization of micro-structures and micro-morphologies of geomaterials, and the DEM modeling and analysis of fundamental soil behaviors of crushable sands and their applications in various kinds of geotechnical engineering problems such as pile foundation, slope stability and retaining structures, etc. Dr. Wang's work has been awarded the prestigious international prize including 2011 Geotechnical Research Medal (UK Institution of Civil Engineers) and 2010 Higher Education Institutions Outstanding Research Award - Natural Science Award (the Ministry of Education of China). His research has attracted over 5 million HKD of external grants including the Research Grant Council (RGC) of Hong Kong SAR and National Science Foundation of China (NSFC). So far he has published over 40 SCI journal articles.


报告内容简介:

      This presentation reviews the recent progress in nano-focus X-ray CT characterization, mathematical modeling and discrete element method (DEM) simulation of the micromechanical behavior of the crushable sands. The novelty of the study stems from the pioneering application of the state-of-the-art CT technology and mathematical and DEM methods to the exploration of the fracture behavior of sand particles at the micron and sub-micron scales, the accurate reconstruction of 3D sand particle morphology, and the assessment of the effects of particle microstructure and micro-morphology on the fracture behavior, as well as the innovative probability-based DEM modeling of particle breakage. The findings from this study contribute to the advancement of the knowledge frontier in the breakage mechanics of sands.

     

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