应土木工程学院李惠教授和赖马树金副教授的邀请，北京理工大学前沿交叉科学研究院毛雪瑞教授将于2021年6月11日访问土木工程学院并做学术讲座。
欢迎感兴趣的老师和同学参加交流！
时间地点：2021.06.11下午3:00-4:00， 土木工程学院425
Assimilation of fluid flow data
Xuerui Mao
Frontier Interdisciplinary Research Institute
Beijing University of Technology
Data assimilation has grown to be a significant branch of fluid mechanics. In model based assimilation, considering the measured wall shear stress in a flat plate flow as the input, the incoming free-stream turbulence can be traced. Subsequently, a large part of the overall flow over the plate can be recovered and the development to the laminar-turbulence transition stage can be predicted. In data based assimilation, flow fields from various sources with various accuracy can be merged in a Gaussian Regression scheme to combine the merit of each individual set of data and mitigate their drawbacks. Here we consider the experimental data, commonly regarded as accurate but sparse, and the simulation data, which is dense but (sometimes!) inaccurate. By merging spatially and temporally discontinuous experimental data and continuous simulation one, we obtain a continuous high-fidelity set of data, shedding lights to a new relationship between experiments and simulations: rather than using one to validate the other, they can be combined! The same idea is then applied to merge DNS, LES and RANS data in an airfoil flow, aiming at using a small set of expensive and accurate data to tune the cheap and dirty one.
Prof. Xuerui Mao received his PhD in computational fluid dynamics from the Department of Aeronautics at Imperial College London in 2011. After postdoc training at Monash Unviersity and Ecole Polytechnique, since 2012, he has been Lecturer of turbomachinery at Durham Univeristy and Associate Professor at the Univeristy of Nottingham. He has been devoted to numerical modeling and high-fidelity simulations of hydrodynamic stability and flow control, with a clear focus on the mathematical interpretation of the fluid physics. Most recently he developed interests in data fusion, modal decomposition and icing/deicing, under the support of a variety of research councils in the UK and Europe, as well as the major industry.
