题    目:Random Thoughts on Big Data in Mechanics Research

               大数据在力学研究中的随想

时    间:2018年3月27日  下午3:00 

地    点:交通楼727

报告人:Jian-Qiao Sun  孙建桥, Professor, 国家千人计划教授, Ph.D., P.E., ASME Fellow,School of Engineering University of California Merced, CA 95343, U.S.A.

Abstract

In this talk, we first consider the dependence of mechanics on experimental data.  In particular, we point out the data needs in developing Newton’s laws and constitutive laws of solid and fluid mechanics.  The technologies responsible for ever-increasing amount of data available from mechanical systems in complex environment are reviewed.  We then as the question: What can we do with the big data from mechanical systems operating in complex environment?

To search for the answer to this question, we first review the research efforts of the past few decades in developing mathematical models for analysis, fault detection, optimization and control of various civil, mechanical and biological systems.  Examples with “small” number of data are first discussed. These include the data driven modeling of acoustic materials, fatigue life prediction of metallic structures, modeling, fault detection and control of HVAC systems in office buildings, and surgical outcome prediction.  We then review the recent advances of methods in artificial intelligence, and discuss their potentials and challenges for applications to mechanical systems in complex environment.  An example of our preliminary study of remaining useful life prediction of aircraft engine with deep learning is then presented to conclude the talk.  It is hoped that this talk will stimulate the interests in artificial intelligence and its application to traditional engineering disciplines.

Speaker

Dr. Jian-Qiao Sun earned a BS degree in Solid Mechanics from Huazhong University of Science and Technology in Wuhan, China in 1982, a MS and a PhD in Mechanical Engineering from University of California at Berkeley in 1984 and 1988.  He worked for Lord Corporation at their Corporate R&D Center in Cary, North Carolina.  In 1994, Dr. Sun jointed the faculty in the department of Mechanical Engineering at the University of Delaware as an Assistant Professor, was promoted to Associate Professor in 1998 and to Professor in 2003. He joined University of California at Merced in 2007, and is currently a professor and chair of the department of Mechanical Engineering in School of Engineering.  He was elected to be a Qian-Ren-Ji-Hua scholar in the fourth cycle with Tianjin University.  Besides many other editorial experiences, he is the Editor-in-Chief of International Journal of Dynamics and Control published by Springer.

His research interests include stochastic non-linear dynamics and control, cell mapping methods, multi-objective optimization, energy harvesting and data-driven energy management of office building HVAC systems.