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PyFR Seminar Series
PyFR
The series comprises invited talks on a range of topics related to the theory of high-order Flux Reconstruction schemes, their implementation in the PyFR (www.pyfr.org) flow solver, and their application to industrially relevant flow problems. The overarching objective of the series is to help bridge the gap between academic research activities and real-world industrial requirements.
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Seminars
Community
Publications
About the organisers
Discussions
Static deep stall analysis augmented by numerically constrained turbulent flows
Francesco Mario D'Afiero, University of Naples Federico II and KTH Royal Institute of Technology
Towards Reentry Capsule Dynamic Stability Prediction: Recent Experience using PyFR for Capsule Wake Flow
Bhaskaran Rathakrishnan, Analytical Mechanics Associates at NASA Ames Research Center
Actuator Line Model for Wind Turbine Wake Prediction with PyFR
Tianyang Liang, Kyushu University
Simulating a Thermoacoustic Engine With PyFR
Nathan Blanc, Technion – Israel Institute of Technology
Numerical simulations of aerofoil tonal noise reduction by roughness elements
Zhenyang Yuan, Royal Institute of Technology
Online Bayesian Optimization of Polynomial-Multigrid Cycles for Flux Reconstruction
Sambit Mishra, Texas A&M University
DNS-based optimisation of airfoils for Martian helicopters using PyFR
Lidia Caros Roca, Imperial College London
Active control of compressible supersonic wall-bounded flow using direct numerical simulations with spanwise velocity modulation at the walls using PyFR
Holger Foysi, University of Siegen
GPU-Accelerated High-Fidelity Implicit LES of Coanda Cylinder Flow Instabilities
Tom Regev, Technion – Israel Institute of Technology