Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-26T17:34:41.250Z Has data issue: false hasContentIssue false

A parametric associative modelling of aeronautical structural concepts under C0, C1 or C2 continuity constraints

Published online by Cambridge University Press:  27 January 2016

V. Dattoma
Affiliation:
Dipartimento di Ingegneria dell’Innovazione, Università del Salento – via Arnesano, Lecce, Italy
M. De Giorgi*
Affiliation:
Dipartimento di Ingegneria dell’Innovazione, Università del Salento – via Arnesano, Lecce, Italy
S. Giancane
Affiliation:
Dipartimento di Ingegneria dell’Innovazione, Università del Salento – via Arnesano, Lecce, Italy
P. Manco
Affiliation:
Dipartimento di Ingegneria dell’Innovazione, Università del Salento – via Arnesano, Lecce, Italy
A.E. Morabito
Affiliation:
Dipartimento di Ingegneria dell’Innovazione, Università del Salento – via Arnesano, Lecce, Italy

Abstract

In this paper an associative-parametric approach is proposed in order to model the mesh of an aeronautical concept starting from a set of high-level structural primitives. This approach allows the designer to carry out the geometric modelling and the automatic mesh generation within one software environment in a fast and interactive way. The structural optimisation process is then simplified, with a relevant man-hours saving. A lower number of data transfers between different software is, moreover, involved with less problems related to the data corruption. To assure orders of continuity higher than C0 between adjacent instances, a suitable mathematical description of the structural primitives has been proposed. This description assures the maintenance of the required continuity constraints when the mesh is modified. Appropriate schemes of dependences are identified to guarantee the automatic propagation of the modifications complying with the continuity constraints.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2012 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Ledermann, C., Hanske, C., Wenzel, J., Ermanni, P. and Kelm, R. Associative parametric CAE methods in the aircraft pre-design, Aerosp Sci and Tech, 2005, 9, pp 641651.Google Scholar
2. Xie, X. and Haberland, CH. A new numerical design tool for concept evaluation of propeller aircraft, Aircr Design, 1999, 2, pp 147165.Google Scholar
3. Nemec, M., Aftosmis, M.J. and Pulliam, T.H. CAD-Based Aerodynamic Design of Complex Configurations Using a Cartesian Method, Proceedings of Aerospace Sciences Meeting AIAA 2004– 0113 42nd.Google Scholar
4. Athanasopoulos, M. et al Parametric design of aircraft geometry using partial differential equations, Adv Eng Softw, doi:10.1016/j.advengsoft.2008.08.001, (2008).Google Scholar
5. Sarakinos, S., Valakos, I. and Nikolos, I. A software tool for generic parameterized aircraft design, Adv Eng Softw, 2007, 38, (1), pp 3949.Google Scholar
6. Österheld, C.M., Heinze, W. and Horst, P. Preliminary design of a blended wing body configuration using the design tool PrADO, in: Proceedings of the CEAS Conference on Multidisciplinary Aircraft Design and Optimisation, Köln, Germany, 25-26 June 2001.Google Scholar
7. Luo, X., Rajagopalan, H. and Grandhi, R. MIDAS: Multidisciplinary Interactive Design and Analysis System – integration of ASTROS and I-DEAS, Proceedings of 37th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit, Salt Lake City, UT, USA, 1996.Google Scholar
8. Townsend, J.C., Samaresh, J.A., Weston, R.P. and Zorumski, W.E. Integration of a CAD system into an MDO framework, Technical Report NASA/TM-1998-207672, NASA – Langley Research Center, Hampton, VA, USA, 1998.Google Scholar
9. Richter, T., Mechler, M. and Schmitt, D. Integrated parametric aircraft design, Technical Report, Institute of Aeronautical Engineering, Technical University Munich, 85747 Garching, Gernmany 2002.Google Scholar
10. Lederman, C., Ermanni, P. and Kelm, R. Dynamic CAD objects for structural optimization in preliminary aircraft design, Aerospace Science and Technology, 2006, 10, pp 601610.Google Scholar
11. Cocciolo, M., De Giorgi, M., Giancane, S., Morabito, A. and Nigri, M. Representation of conceptual design solutions in aeronautic field, XVII ADM-XXI INGEGRAF International Congress, Lugo, Spain, 9-12 Giugno 2009.Google Scholar
12. Documentation for Ansys 11.0 Chapter 7 – Generating the Mesh.Google Scholar
13. Dattoma, V., De Giorgi, M., Giancane, S., Manco, P. and Morabito, A.E. A parametric-associative Modelling of aeronautical concepts for structural optimization, The Tenth International Conference on Computational Structures Technology, Valencia, Spain, 14-17 September 2010.Google Scholar