- Aachen, RWTH, September 1-5, 2014: Midterm Review Meeting and Training on High-performance computing, parallelisation, GPU computing.
- Queen Mary University of London, London, 8-12 September 2014: Training in Public Engagement.
|Sensitivity of drag with respect to surface deformation; red: push in, blue: pull out to reduce drag.
Image courtesy of Volkswagen AG
AboutFlow is an Initial Training Network (ITN) project funded by the European Commission under Marie-Curie People scheme. The project runs from November 2012 to October 2016.
The aim of AboutFlow is to develop robust gradient-based optimisation methods using adjoint sensitivities for numerical optimisation of flows. The developments focus on three areas:
- robust adjoint solvers with full 2nd Order accuracy and good convergence over a wide range of cases; broad modelling capabilities including turbulence, heat transfer; support for a wide range of cost-functions
- seamless integration of adjoint gradients into design chains, i.e. using the same meshes as the CFD solvers, automated parametrisations and either integration of CAD into the loop or return of the final result to CAD
- the removal of the limitation to fully converged CFD flow fields, but instead the ability to perform adjoint optimisation of flows with minor instabilities (small separation areas) or unsteady flows such as Detached-eddy simulation (DES).