【直播】兰州大学2023年暑期国际课程《流体力学中的数据驱动方法及应用》

KouShare 蔻享学术 2023-08-02

课程名称：

兰州大学2023年暑期国际课程《流体力学中的数据驱动方法及应用》

课程时间：

2023年7月12-19日

授课教师：

Dr. Xiang Yang、Dr.Ricardo Vinuesa

主办单位：

兰州大学土木工程与力学学院

直播通道

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授课教师

Dr.Xiang Yang, Assistant Professor, Department of Mechanical Engineering, Pennsylvania State University, USADr. Xiang Yang is an Assistant Professor in the Mechanical Engineering Department at the Pennsylvania State University. He received his Ph.D. in Mechanical Engineering from Johns Hopkins University in 2016. Yang was a postdoctoral researcher at the Center for Turbulence Research between 2016 and 2017 before he joined Penn State as a faculty member in the Mechanical Engineering Department in 2018. His group conducts high-fidelity numerical simulations, builds physics- and data-based models, and finds efficient solutions for real-world engineering problems. The tools Yang uses include direct numerical simulation, large-eddy simulation, Reynolds-averaged Navier-Stokes, and machine learning.

Dr.Ricardo Vinuesa, Department of Engineering Mechanics, KTH Royal Institute of Technology, SwedenDr. Ricardo Vinuesa is an Associate Professor at the Department of Engineering Mechanics, at KTH Royal Institute of Technology in Stockholm. He is also Vice Director of the KTH Digitalization Platform and Lead Faculty at the KTH Climate Action Centre. He studied Mechanical Engineering at the Polytechnic University of Valencia (Spain), and he received his PhD in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand and model complex wall-bounded turbulent flows, such as the boundary layers developing around wings and urban environments. Dr. Vinuesa has received, among others, an ERC Consolidator Grant, the Göran Gustafsson Award for Young Researchers and he is the PI of several EU-funded projects.

时间安排

（1）第一阶段：授课教师Xiang Yang7月12日（周三），上午9点-11点（北京时间）7月13日（周四），上午9点-11点（北京时间）7月14日（周五），上午9点-11点（北京时间）
（2）第二阶段：授课教师Ricardo Vinuesa7月17日（周一），下午4点-6点（北京时间）7月18日（周二），下午4点-6点（北京时间）7月19日（周三），下午4点-6点（北京时间）

简要课程大纲（暂定）

（1）第一讲 Basics of Machine Learning: Linear regression, Logistic regression, Feed-forward neural networks（2）第二讲 Advanced Topics: Sparse identification of non-linear dynamics (SINDy), Data-enabled classification and modeling of turbulent flows（3）第三讲 Applications I: RANS modeling, Wall modeling, Dynamics identification（4）第四讲 Applications II: Fluid-flow simulation, turbulence and computing（5）第五讲 Applications III: Predictions in turbulent flows using deep learning: space and time（6）第六讲 Applications IV: Reduced-order modelling and control via deep learning欢迎参加！

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编辑：吴良秀