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发布人:王庆瑞  发布时间:2021-06-11   浏览次数:482



时间地点:2021.06.11下午3:00-4:00, yabo亚搏手机版app425


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.