题目：Inductive Study of Mechanics from Biomaterials and Structures: Observation, Interpretation and Application
时间：2018年6月26日 10:00
地点：机械与动力工程学院 F207会议室
邀请人：史熙教授（机电控制与物流装备研究所）
Biography
Dr. Haimin Yao is an Associate Professor in the Department of Mechanical Engineering of the Hong Kong Polytechnic 
University. He received his BEng and MEng degrees in Solid Mechanics from Tsinghua University in 2000 and 2002, respectively. In 2006, he obtained his Doctor degree in Chemistry from University of Stuttgart. Then he moved to USA and worked at Brown University (2006-2007) and subsequently at Massachusetts Institute of Technology (2007-2010) as a postdoctoral research associate.
Dr. Yao leads a research group studying natural biomaterials and advanced materials with focus on their unique mechanical behaviors and the intrinsic mechanisms. Meanwhile, he serves as the program leader for the Full-time BEng (Hons) Program in Mechanical Engineering at the HKPolyU, and editorial board members for the peer-refereed journals of Scientific Reports, Composites Communication and Applied Mathematics and Mechanics.
Abstract
Induction is one of the important methods of reasoning in logic. Such inductive approach has been successfully used in our studies aiming at revealing mechanics concealed in biological materials and structures with unique properties and capabilities. In this talk, three examples of our success are presented. More specifically, from the teeth of black carp, we revealed the method to control the fracture mode of laminated composite; from the shells of mollusks P. placenta and abalone we uncovered a reinforcing mechanism for laminated composite by using spiral interface; from the leaves of mangrove, we learned an antifouling strategy by controlling surface morphology. All these findings not only provide insights into the mechanics responsible for the unique properties and capability of the biological materials and structures, but also imply great promise of application in the design of novel biomimetic advanced materials.
