Fundamentals of Turbulence Modeling
Turbulence modeling plays a crucial role in the study of fluid dynamics, particularly in engineering and scientific applications. This course provides an introduction to the fundamental theories and methodologies of turbulence modeling, covering key concepts such as turbulence statistics, the closure problem, Reynolds-averaged Navier-Stokes (RANS) equations, eddy viscosity models, Large Eddy Simulation (LES), and Direct Numerical Simulation (DNS). Special emphasis is placed on the practical implementation of turbulence models in Computational Fluid Dynamics (CFD). The course is designed for students and researchers in fluid mechanics, aerospace engineering, mechanical engineering, and computational physics who seek a deeper understanding of turbulence modeling techniques and their applications.
讲师
日期
2025年03月26日 至 06月11日
位置
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| 周三 | 13:30 - 16:55 | A3-4-312 | ZOOM B | 462 110 5973 | BIMSA |
参考资料
1. Pope, S. B. - Turbulent Flows (Cambridge University Press, 2000)，经典湍流理论教材，涵盖统计理论与建模方法；
2. Wilcox, D. C. - Turbulence Modeling for CFD (DCW Industries, 2006)，详细介绍湍流模型，适合CFD相关研究；
3. Davidson, P. A. - Turbulence: An Introduction for Scientists and Engineers (Oxford University Press, 2015)，强调物理概念，适合入门和中级学习；
4. Lesieur, M. - Turbulence in Fluids (Springer, 2008)，侧重于理论分析，适合研究导向的学习。
2. Wilcox, D. C. - Turbulence Modeling for CFD (DCW Industries, 2006)，详细介绍湍流模型，适合CFD相关研究；
3. Davidson, P. A. - Turbulence: An Introduction for Scientists and Engineers (Oxford University Press, 2015)，强调物理概念，适合入门和中级学习；
4. Lesieur, M. - Turbulence in Fluids (Springer, 2008)，侧重于理论分析，适合研究导向的学习。
听众
Undergraduate
, Advanced Undergraduate
, Graduate
, 博士后
, Researcher
视频公开
不公开
笔记公开
不公开
语言
中文
讲师介绍
Zhiting Ma obtained the B.S. degree from Lanzhou University in 2015 and Ph.D. degree from Department of Mathematical Sciences at Tsinghua University, China in 2021. Then, she worked as a postdoc at School of Mathematical Sciences, Peking University. Currently, she is an Assistant Professor in Beijing Institute of Mathematical Sciences and Applications (BIMSA). Her current research interests include kinetic theory, machine learning and hyperbolic relaxation systems.