报告题目：Embedded Intelligence for Engineering Structures
报告人：叶林 教授 悉尼大学
报告时间：2014年7月11日上午9：00
报告地点：新主楼C706
邀请人：李书 教授
报告摘要：
In the past decades, structural health monitoring has been an active research area with aims to substantially increase structural integrity for various engineering structures with improved performance. Damage identification as a key aspect of structural health monitoring techniques is a typical inverse approach based on fusion of extracted signal features from sensor network. The seminar presents some recent results of damage identification using guided wave signals from active sensor network in beams, panels and tubes in terms of signal processing, extraction of signal features, and inverse algorithms for damage identification, such as triangulation, correlation, time-reversal, and artificial neural network based on a concept of digital damage figureprints. Some new results on monitoring delamination growth and impact damage in GF/EP laminates based on electrical resistivity tomography aided by conductive nanoparticles in the laminates are also discussed.
报告人简介：
Biography: Lin Ye is a professor at the School of Aerospace, Mechanical and Mechatronic Engineering and the Director of the Centre for Advanced Materials Technology of the University of Sydney. He earned his BEng degree from Harbin Engineering University in 1982, and MEng in 1984 and PhD in 1987 from Beijing University of Aeronautics and Astronautics. He joined The University of Sydney in 1992 as a Lecturer, and was promoted to Senior Lecturer in 1995, Reader in 1998 and Full Professor in 2002. His major research interests are in the areas of composites science and technology, smart materials and structures, nano-materials and nano-composites, structural integrity and durability, with more than 300 journal articles indexed in the ISI Web of Science and three monographs. He has trained 25 PhD and 8 MPhil students and over 30 postdoctoral fellows and visiting scholars. He was elected to a Fellow of the Australian Academy of Technological Sciences and Engineering (ATSE) in 2005.
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