学术报告-Improving aerodynamics of vehicles using reliable flow predictions, active flow control and machine learning- Prof. Sinisa Krajnovic

发布时间:2019-10-15浏览次数:398

报告题目: Improving aerodynamics of vehicles using reliable flow predictions, active flow control and machine learning

报 告 人: Prof. Sinisa Krajnovic Professor of Chalmers University of Technology


报告日期: 2019年10月22日星期二,下午13:30

报告地点: 嘉定校区上海地面交通工具风洞中心212会议室

联 系 人: 杨志刚教授,电话69589240

个人简介:

Sinisa Krajnovic is Professor of Computational Fluid Dynamics at Chalmers University of Technology. He has conducted research in automotive aerodynamics in the last 20 years, aiming at improving vehicle performance with regard to energy consumption, stability relevant to road safety and other aerodynamic aspects. The core of his research consists of development of unsteady numerical techniques and their applications in bluff body aerodynamics. Large part of his work is devoted to application of Large Eddy Simulation (LES) for various bluff-body flows and in particular flows around bodies with application in vehicle aerodynamics. He has been a pioneer in several disciplines, and was first to develop time-dependent numerical simulations for the automotive industry. His recent research interests have heavily focused on so called bridging models, which combine RANS and LES. Detached-eddy simulation (DES), unsteady Reynolds-averaged Navier-Stokes (URANS) and especially Partially-averaged Navier-Stokes (PANS) are examples of these bridging models used by Prof. Krajnovic in his research. He has also interest in aerodynamic shape optimization and flow control techniques.


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