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Article . 2022
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Technologies for Enabling System Architecture Optimization

Authors: Bussemaker, J.H.; Boggero, L.;

Technologies for Enabling System Architecture Optimization

Abstract

Optimization of complex system architectures can support the non-biased search for novel architectures in the early design phase. Four aspects needed to enable architecture optimization and the author’s views on how to solve them are discussed: formalization of the architecture design space, systematic exploration of the design space, conversion from architecture model to simulation model, and flexible simulation of architecture performance. Modeling the design space is done using the Architecture Design Space Graph (ADSG) implemented in ADORE. Systematic exploration can be done using evolutionary or surrogate-based optimization algorithms. Architecture to simulation model conversion can be done using an object-oriented approach using class factories, or using the MultiLinQ tool to synchronize a central data repository. Finally, simulation environments should expose a flexible and modular interface to be used in architecture optimization. A jet engine architecting problem is presented that demonstrates various aspects of system architecture optimization.

Keywords

System Architectures, optimization, surrogate modeling

20 references, page 1 of 2

[1] M. Alder, E. Moerland, J. Jepsen, and B. Nagel. Recent advances in establishing a common language for aircraft design with CPACS. In Aerospace Europe Conference, 2020.

[2] J.H. Bussemaker, N. Bartoli, T. Lefebvre, P.D. Ciampa, and B. Nagel. Efectiveness of surrogate-based optimization algorithms for system architecture optimization. In AIAA AVIATION 2021 FORUM, Virtual Event, August 2021. [OpenAIRE]

[3] J.H. Bussemaker, L. Boggero, and P. D. Ciampa. From system architecting to system design and optimization: A link between mbse and mdao. INCOSE International Symposium, June 2022. [OpenAIRE]

[4] J.H. Bussemaker and P.D. Ciampa. Handbook of Model-Based Systems Engineering, chapter MBSE in Architecture Design Space Exploration (in review). Springer, 2021.

[5] J.H. Bussemaker, P.D. Ciampa, and B. Nagel. System architecture design space exploration: An approach to modeling and optimization. In AIAA AVIATION 2020 FORUM, Virtual Event, June 2020. [OpenAIRE]

[6] J.H. Bussemaker, P.D. Ciampa, and B. Nagel. System architecture design space modeling and optimization elements. In 32nd Congress of the International Council of the Aeronautical Sciences, ICAS 2020, Shanghai, China, September 2021. [OpenAIRE]

[7] J.H. Bussemaker, T. De Smedt, G. La Rocca, P.D. Ciampa, and B. Nagel. System architecture optimization: An open source multidisciplinary aircraft jet engine architecting problem. In AIAA AVIATION 2021 FORUM, Virtual Event, August 2021. [OpenAIRE]

[8] P. D. Ciampa and B. Nagel. AGILE paradigm: The next generation of collaborative mdo for the development of aeronautical systems. Progress in Aerospace Sciences, 119, November 2020.

[9] P.D. Ciampa and B. Nagel. Accelerating the development of complex systems in aeronautics via mbse and mdao: a roadmap to agility. In AIAA AVIATION 2021 FORUM, Virtual Event, June 2021.

[10] C.P. Frank, R. Marlier, O.J. Pinon-Fischer, and D.N. Mavris. An Evolutionary Multi-Architecture Multi-Objective Optimization Algorithm for Design Space Exploration. In 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, number January, pages 1-19, Reston, Virginia, January 2016.

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impulse
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