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【数学之美-杰出学者讲坛】2024年第3期 ||Optimal transport and Monge-Ampere equ...
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清华大学材料科学与工程研究院《材料科学论坛》:机器学习辅助合金理性设计
报告题目:
清华大学清洁能源讲坛系列学术报告之二十:Towards predictive simulation in aerospace
 报告人:
Prof. Paul G. Tucker
剑桥大学工程系
报告时间:
2015-09-14 09:30
报告地点:
热能系系馆报告厅
主办单位:
清华大学热能工程系
  简介:

Abstract: The future use of eddy resolving simulations (ERS) such as Large Eddy Simulation (LES), Direct Numerical Simulation (DNS) and related approaches in aerospace is explored.  The turbulence modeling requirements with respect to aeroengines and aircraft is contrasted. For the latter, higher Reynolds numbers are more prevalent and this especially gives rise to the need for the hybridization of ERS methods with Reynolds Averaged Navier–Stokes (RANS) approaches. Zones where future use of pure ERS methods is now possible and those where hybridizations with RANS will be needed is outlined. The major focus is the aeroengine for which the component scales are much smaller. This gives rise to generally more benign Reynolds numbers. The use of eddy resolving methods in a wide range of zones in an aeroengine is discussed and the potential benefits and also cost drawbacks with such approaches noted. The tension when using such computationally intensive calculations in an area where the coupling of components and even the airframe and engine is becoming increasingly important is explored. Also, the numerical methods and meshing requirements are considered and the implications of ERS methods for future numerical algorithms. It is postulated that such simulations are ready now for niche uses in industry. However, to perform the scale of simulations that industry requires, to meet pressing environmental needs, challenges remain. For example, there is the need to develop optimal numerical methods that both map to the accuracy requirements for ERS and also future computer architectures.
报告人简介:Prof. Paul G. Tucker is the Rank Professor of Engineering of Cambridge University, also the Professorial Fellow of Murray-Edwards College of Cambridge University. He received his Ph.D. from the Rolls-Royce Technology Center of University of Sussex. He has worked in several world-leading research institutes and companies as visiting Professor and visiting scientist, such as NASA, Rolls-Royce and Boeing. In 2007 he joined Cambridge University. His main research interests lie in the clean and high-efficiency propulsion and he is renowned in many fields, including RANS modeling and LES of turbomachinery, jets and noise, numerical methods and applications in aerospace systems. He has received the Best paper award of ASME/IGTI, one of the highest award of the turbomachinery community. Now he is Fellow of IMechE, Associate Fellow of AIAA and he is Associate editor of AIAA Journal for three terms.

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