Topological optimization of compliant adaptive wing structure
- Creators
- Santer, M.
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Pellegrino, S.
Abstract
Load-path-based topology optimization is used to synthesize a compliant adaptive aircraft wing leading edge, which deforms in a prescribed way when subject to a single point internal actuation. The load-path-based optimization method requires the specification of a parent lattice. Increasing the complexity of this lattice means the number of parameters required for a complete representation of the structure in the topology optimization becomes prohibitive, although it is desirable to enable a full exploration of the design space. A new method based on graph theory and network analysis is proposed, which enables a substantial reduction in the required number of parameters to represent the parent lattice. The results from this load-path-based approach are compared with those obtained from the better-known density-based topology optimization method.
Additional Information
© 2009. American Institute of Aeronautics and Astronautics, Inc. The work presented in this paper was funded under the Sixth Framework Programme of the European Commission. The authors would like to thank Ettore Baldassin, Aurelio Boscarino, and Giovanni Carossa of Alenia-Aeronautica in Italy for their input into the design of the compliant wing. The assistance of Philippe Andry, Fréderic Cugnon, Christopher Morton, and Alain Remouchamps of Samtech in Belgium with the use and provision of SAMCEF TOPOL and BOSS-quattro is gratefully acknowledged. In addition two anonymous reviewers are thanked for their detailed and helpful comments. This work was carried out at the University of Cambridge, where both authors were previously affiliated.Attached Files
Published - Santer2009p64210.25141.36679.pdf
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Additional details
- Eprint ID
- 14169
- Resolver ID
- CaltechAUTHORS:20090506-151236424
- European Commission
- Created
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2009-08-13Created from EPrint's datestamp field
- Updated
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2021-11-08Created from EPrint's last_modified field
- Caltech groups
- GALCIT