时间：2019-10-24 14:00
地点：九里1号综合楼240
报告人：Dr. Andrea Da Ronch
个人简介： Andrea DA RONCH is a Lecturer in Aerospace Engineering, the Academic Integrity Officer and the Director of the Flight Simulator of the University of Southampton, UK. He coordinates a group of 7 researchers and manages a portfolio of projects in excess of £1,000,000 as the Principal Investigator or Co-Investigator. He attracted research grants from national and international councils, from the Royal Academy of Engineering (RAEng), the Engineering and Physical Sciences Research Council (EPSRC), to the European Commission H2020 framework and the Air Force Office of Scientific Research (AFOSR). He received commissions by Airbus Operations Ltd to transfer research innovations to industry by addressing practical needs. He has a well-proved experience in multi-disciplinary computational aero-sciences and modelling techniques to reduce the computational complexity of mathematical models in numerical simulations, with particular interests in aircraft design, aerodynamics and aeroelasticity. He has published a book, “Advanced UAV Aerodynamics, Flight Stability and Control: Novel Concepts, Theory and Applications” by John Wiley & Sons, and his peer-reviewed journals were cited more than 1,000 times. He serves as the Chair of the AIAA Student Paper Competition within the remits of the Atmospheric Flight Mechanics Technical Committee, he is a reviewer of multiple international journals and research grant platforms, and he is on the Editorial Board of Aerospace.
讲座内容：The talk overviews problems encountered in the aeroelasticity field, with particular emphasis on the gust response and flutter analysis. We will discuss methodologies which have been developed to accelerate the computational times needed for the aeroelastic analysis using CFD as source of the aerodynamic predictions. The methodology is general and can be applied to large scale, nonlinear coupled systems. Furthermore, we will consider some examples of control design synthesis which were carried out using the proposed methodology. Examples are built using combinations of linear and nonlinear structural and aerodynamic models.
