Collaborative complex system design applied to an aircraft system

Eric Thomas; Michel Ravachol; Jean Baptiste Quincy; Martin Malmheden

Title:

Author:

Eric Thomas: Dassault-Aviation, Cloud Cedex, France Michel Ravachol: Dassault-Aviation, Cloud Cedex, France Jean Baptiste Quincy: Dassault Systèmes, Velizy-Villacoublay Cedex, France Martin Malmheden: Dassault Systèmes, Velizy-Villacoublay Cedex, France

DOI:

10.3384/ecp12076855

Download:

Full text (pdf)

Year:

2012

Conference:

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Issue:

076

Article no.:

088

Pages:

855-866

No. of pages:

Publication type:

Abstract and Fulltext

Published:

2012-11-19

ISBN:

978-91-7519-826-2

Series:

Linköping Electronic Conference Proceedings

ISSN (print):

1650-3686

ISSN (online):

1650-3740

Publisher:

Linköping University Electronic Press; Linköpings universitet

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Aircraft systems have evolved dramatically since the beginning of aviation. Many improvements of performance and safety have been made. Now each sub-system has optimized performance and it is thus difficult to find gains without breakthroughs in architectures or technologies; and this is the objective of the R & D studies towards a more electric aircraft.

Simulations are widely used to explore and justify systems architectures [1]; but system simulations currently suffer from limitations which make them difficult to use for complex multi-systems analysis. Therefore tools and processes must evolve to accompany these major changes in order to support the designers in their quest of optimized design.

This article deals with new processes and tools which will take part; in a close future; in the determination; the verification and validation of systems architectures. The results presented here were obtained during the CSDL project (Complex Systems Design Lab) partly funded by the French government.

Keywords: Collaborative process; System engineering; MBSE; multi-levels; Optimization; Robust Design; Coupling Simulation System; Surrogate Models; PLM/SLM integration

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:

Eric Thomas, Michel Ravachol, Jean Baptiste Quincy, Martin Malmheden

Title:

Collaborative complex system design applied to an aircraft system

DOI:

http://dx.doi.org/10.3384/ecp12076855

References:

[1] Advances in Product Modelling and Simulation at Dassault Aviation; Lionel de la Sayette; RTO AVT Symposium; April 2002.

[2] Modelling of System Properties in a Modelica Framework Audrey Jardin; Daniel Bouskela; Thuy; Nguyen; Nancy Ruel (EDF R&D); Eric Thomas; Laurent Chastanet (Dassault-Aviation); Raphaël Schoenig; Sandrine Loembé (Dassault-Systèmes); Modelica Conference 2011.

[3] Projet CSDL :; Conception en phase amont de systèmes complexes sur la plateforme PLM/SLM de Dassault Systèmes Michel Ravachol; Jean-Baptiste Quincy; NAFEMS Paris; june 2012.

[4] Modelling of Uncertainties with Modelica Daniel Bouskela; Audrey Jardin (EDF R&D); Zakia Benjelloun-Touimi (IFP Energies nouvelles); Peter Aronsson (MathCore Engineering); Peter Fritzson (Linköping University) Modelica Conference 2011.

[5] www.modelica.org

[6] www.eurosyslib.org

[7] www.modelisar.com

[8] www.ITEA2.org / Modrio

Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany

Author:

Eric Thomas, Michel Ravachol, Jean Baptiste Quincy, Martin Malmheden

Title:

Collaborative complex system design applied to an aircraft system

DOI:

https://doi.org10.3384/ecp12076855

Note: the following are taken directly from CrossRef

Citations:

Weslley Torres, Mark G. J. van den Bran & Alexander Serebrenik (2020). A systematic literature review of cross-domain model consistency checking by model management tools. Software and Systems Modeling, : . DOI: 10.1007/s10270-020-00834-1

Edris Safavi, Mehdi Tarkian, Hampus Gave & Johan Ölvander (2015). Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design. Concurrent Engineering, 23(3): 236. DOI: 10.1177/1063293X15587020

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Last updated: 2019-11-06