发展基于动力学模态分解算法(Dynamic Mode Decomposition, DMD)、深度学习(Deep Learning)等降阶模型的数据驱动湍流大规模数据特征提取方法,应用于高雷诺数壁湍流的复杂流动现象研究,形成覆盖数据预处理、非均匀采样及模态选择的全流程模态分析方法。
李炳华
Alma Mater:Polytechnic University of Madrid
Supervisor of Master's Candidates
E-Mail:
Date of Employment:2024-03-26
School/Department:Smart Aviation Center, International Innovation Institute
Administrative Position:Interim Associate Professor
Business Address:4021, Research Building One, Hangzhou International Campus
Contact Information:TEL:0571-28881011, WeChat:654173517
Status:Employed
Academic Titles:Senior Assistant of the Institute
Alma Mater:Polytechnic University of Madrid
Discipline:Aeronautical and Astronautical Science and Technology
Alma Mater:Polytechnic University of Madrid
发展基于动力学模态分解算法(Dynamic Mode Decomposition, DMD)、深度学习(Deep Learning)等降阶模型的数据驱动湍流大规模数据特征提取方法,应用于高雷诺数壁湍流的复杂流动现象研究,形成覆盖数据预处理、非均匀采样及模态选择的全流程模态分析方法。