CCES Unicamp

Large Scale Parallel Computing and Statistical Analysis for Flow Simulations

Apr 5, 2019
Universidade Estadual de Campinas – UNICAMP
Instituto de Computação
William Roberto Wolf
Faculdade de Engenharia Mecânica
This talk will provide an overview of the research developed in the School of Mechanical Engineering at Unicamp on the field of flow simulations. We will first discuss about the application of large scale parallel computations for the investigation of compressible turbulent flows. Results will be presented for the flow past a realistic landing gear and a problem of dynamic stall, relevant for helicopter rotors and micro UAVs. For the first problem, an analysis of turbulent coherent structures and their subsequent noise generation will be carried out through the application of statistical post-processing techniques applied to large datasets of turbulent flows. For the second problem, we will discuss about the application of deep learning for construction of reduced order models. Then, we will present the challenges in the field and the possibilities for the application of machine learning techniques.
William Wolf received his BSc. in Mechanical Engineering at University of Sao Paulo, Brazil, in 2003, followed by a MSc. in Electronic and Computer Engineering from the Technological Institute of Aeronautics, Brazil, in 2006. In 2011, he received his PhD in Aeronautics and Astronautics Engineering at Stanford University. He is currently an Assistant Professor at University of Campinas, Unicamp, Brazil. His research interests include the application of high-performance computing and advanced post-processing techniques to problems involving turbulent flows, unsteady aerodynamics and aeroacoustics.
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