Mura, G.L., Hinchliffe, B. and Qin, N. orcid.org/0000-0002-6437-9027 (2016) Using A Fast and Explicit Mesh Movement Method To Efficiently Compute Mesh Sensitivity. In: 54th AIAA Aerospace Sciences Meeting. 54th AIAA Aerospace Sciences Meeting, 04-08 Jan 2016, San Diego, California, USA. AIAA
Abstract
A method based on the Delaunay graph mapping mesh movement is proposed to efficiently compute mesh sensitivity in the discrete adjoint optimisation framework. The method results in a one-to-one explicit algebraic mapping between the volume and surface mesh nodes for which the relative volume coefficients based on the Delaunay graph are computed only once. The chain results in a straightforward computation of the surface mesh sensitivity without the need to invert a large sparse matrix generally associated with implicit mesh movements such as spring, torsional, truss and linear elastic analogy. The main finding is that the solution of the second linear mesh-adjoint system of equations is eliminated. The method was verified for the 2D RAE 5243 aerofoil and for the 3D ONERA M6 wing for two cases, (1) sensitivities against each surface mesh point as a design variable compared with finite differences and (2) sensitivities against incidence as a design variable compared with those derived analytically. A comparison with mesh movement using linear elasticity is also presented and reason for discrepancies proposed.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 B. Hinchliffe, G. Mura,and N. Qin. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number AIRBUS UK LIMITED 1100073482 AIRBUS UK LIMITED AI-ECM090883 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Apr 2017 13:47 |
Last Modified: | 13 Apr 2017 13:48 |
Published Version: | http://doi.org/10.2514/6.2016-0291 |
Status: | Published |
Publisher: | AIAA |
Refereed: | Yes |
Identification Number: | 10.2514/6.2016-0291 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:103837 |