题  目：Nonlinear Stochastic Structural Dynamics Techniques: Some aspects of Wavelets or Fractional Derivative based Treatments

时  间：2019年10月19日10：00－11：30

地  点：交通大楼604会议室

报告人：Pol D. Spanos院士（美国莱斯大学）

欢迎广大师生参加

                  土木与交通学院

                  2019年10月16日

报告人简介：

Pol D. Spanos is a L. B. Ryon Endowed Chair in Engineering Rice University, Houston, USA. From 2013 to 2015, he was appointed as the Changjiang Chair Professor of the Ministry of Education of P. R. China. Professor Pol D. Spanos received his undergraduate degree in Mechanical Engineering and Engineering Science from the Technical University in Athens, Greece, and his graduate education at the California Institute of Technology (Caltech), where he was awarded the MS degree in Civil Engineering and the Ph.D. degree in Applied Mechanics, with a minor in Applied Mathematics and Business Economics. His interests are in the area of dynamics and vibrations, with emphasis on probabilistic, non-linear, and signal-processing aspects; and, with applications to structural engineering, aerospace engineering, petroleum engineering, materials engineering, and vehicle engineering. He is Editor-in-Chief of the International Journal of Non-Linear Mechanics, and the Editor of the Journal of Probabilistic Engineering Mechanics. He is also the Chairman of the IASSAR executive committee. He is Honorary/Distinguished Member of both ASCE and ASME. He has received numerous awards from ASCE, ASME, including the A. M. Freudenthal medal, Nathan M. Newmark medal, Theodore Von Karman medal, and the Alexander Von Humboldt Foundation. He is the winner of the 2017 International Scientific and Technological Cooperation Award of P. R. China. He is a member of the Academy of Athens (National Academy of Greece); a member of the Academy of Europe (Academia Europaea), the Indian National Academy of Engineering, and the International Academic of Engineering (Russia); a Member of the National Academy of Engineering (USA), and the American Academy of Arts and Sciences (USA).

报告摘要：

The presentation will first review emerging joint time-frequency analysis techniques for capturing localized system behavior by using wavelets and other emerging signal processing techniques. Further, the determination of linear/nonlinear responses of representative systems to this kind of excitations will be discussed. In this regard, classical concepts such that of equivalent/statistical linearization will be revisited/expanded in light of the potential/challenges of these developing versatile digital analysis techniques. Next fractional derivative-based analysis will be discussed for capturing non-local vis-à-vis local (wavelets based) features of system behavior. In this regard frequency based formulations combined with linearization techniques will be shown to be quite efficient tools for determine the stochastic response of dynamic systems endowed with factional derivative terms. Developing related research themes and applications will also be addressed.