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Adjoint-based optimisation of industrial and unsteady flows

Adjoint-based optimisation of industrial and unsteady flows

Objective

Adjoint-based methods have become the most interesting approach in CFD optimisation due to their low computational cost compared to other approaches. The development of adjoint solvers has seen significant research interest, and a number of EC projects have been funded on adjoint-based optimisation. In particular, partners of this proposal are members of the EC FP7 project FlowHead which develops complete adjoint-based design methods for steady-state flows in automotive design.

Integration of the currently available shape and topology modifcation approaches with the gradient-based optimisation approach will be addressed, in particular development of interfaces to retun the optimised shape into CAD for further design and analysis, an aspect that currently requires manual interpretation by an expert user.

In industrial practice most industrial flows have small levels of instability, which leads to a lack of robustness and instability of the adjoint, such as trailing edge vortex shedding in turbo-machinery. Many industrial applications are also partly unsteady such as bluff body separation in cars or fully unsteady such as vertical-axis wind turbines.

In unsteady adjoints 'checkpoints' of the flow solution at previous timesteps need to be recorded and algorithms for an effective balance between storage and recomputation need to be implemented. The recomputation involves significant memory and runtime overheads for which efficient methods are developed and implemented.

The results of the project will be applied to realistic mid-size and large-scale industrial optimisation problems supplied by the industrial project partners ranging from turbo-machinery, to automotive to wind-turbines.

Training will be provided by academic, industrial and SME partners in methods development, industrial application and software managment. A large programme of complementary training in professional skills will be provided with support from
all partners.
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Coordinator

QUEEN MARY UNIVERSITY OF LONDON

Address

327 Mile End Road
E1 4ns London

United Kingdom

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 1 084 623,32

Administrative Contact

Jens-Dominik Mueller (Dr.)

Participants (8)

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ENGYS LTD

United Kingdom

EU Contribution

€ 311 329,04

ESI GROUP

France

EU Contribution

€ 495 749,21

INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE

France

EU Contribution

€ 280 258,66

NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA

Greece

EU Contribution

€ 468 368,56

Rolls Royce

Germany

EU Contribution

€ 244 099,68

RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN

Germany

EU Contribution

€ 468 368,56

VOLKSWAGEN AG

Germany

EU Contribution

€ 244 099,68

POLITECHNIKA WARSZAWSKA

Poland

EU Contribution

€ 214 049,66

Project information

Grant agreement ID: 317006

Status

Closed project

  • Start date

    1 November 2012

  • End date

    31 October 2016

Funded under:

FP7-PEOPLE

  • Overall budget:

    € 3 810 946,37

  • EU contribution

    € 3 810 946,37

Coordinated by:

QUEEN MARY UNIVERSITY OF LONDON

United Kingdom