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2020 | OriginalPaper | Chapter

1. Multidisciplinary System Modeling and Optimization

Authors : Loïc Brevault, Mathieu Balesdent

Published in: Aerospace System Analysis and Optimization in Uncertainty

Publisher: Springer International Publishing

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Abstract

With the increasing complexity of systems such as aerospace vehicles, it has become more and more necessary to adopt a global and integrated approach from the early steps and all along the design process. Tightly coupling aerodynamics, propulsion, structure, guidance and navigation, trajectory, etc. but also taking into account environmental and operational constraints as well as manufacturability, reliability, maintainability is a huge challenge.

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next chapter Uncertainty Characterization and Modeling
Literature
Agte, J., de Weck, O., Sobieszczanski-Sobieski, J., Arendsen, P., Morris, A., and Spieck, M. (2010). MDO: assessment and direction for advancement—an opinion of one international group. Structural and Multidisciplinary Optimization, 40(1):17–33.
Alexandrov, N. and Lewis, R. (2000). Algorithmic perspectives on problem formulations in MDO. In 8th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Long Beach, CA, USA.
Alexandrov, N. M. (1997). Multilevel methods for MDO. Multidisciplinary Design Optimization: State of the Art, SIAM, pages 79–89.
Allison, J., Kokkolaras, M., Zawislak, M., and Papalambros, P. Y. (2005). On the use of analytical target cascading and collaborative optimization for complex system design. In 6th World Congress on Structural and Multidisciplinary Optimization, Rio de Janeiro, Brazil.
Balesdent, M. (2011). Multidisciplinary design optimization of launch vehicles. PhD thesis, Ecole Centrale de Nantes.
Balesdent, M., Bérend, N., Dépincé, P., and Chriette, A. (2012). A survey of multidisciplinary design optimization methods in launch vehicle design. Structural and Multidisciplinary Optimization, 45(5):619–642.MathSciNetMATH
Balling, R. J. and Sobieszczanski-Sobieski, J. (1996). Optimization of coupled systems-a critical overview of approaches. AIAA Journal, 34(1):6–17.MATH
Blair, J., Ryan, R., and Schutzenhofer, L. (2001). Launch vehicle design process: characterization, technical integration, and lessons learned. NASA/TP-2001-210992, NASA, Langley Research Center.
Braun, R. D. (1996). Collaborative optimization: an architecture for large-scale distributed design. PhD thesis, Stanford University.
Breitkopf, P. and Coelho, R. F. (2013). Multidisciplinary design optimization in computational Mechanics. John Wiley & Sons.
Choudhary, R., Malkawi, A., and Papalambros, P. (2005). Analytic target cascading in simulation-based building design. Automation in construction, 14(4):551–568.
Coelho, R. F., Breitkopf, P., Knopf-Lenoir, C., and Villon, P. (2009). Bi-level model reduction for coupled problems. Structural and Multidisciplinary Optimization, 39(4):401–418.MathSciNetMATH
Conn, A. R., Gould, N. I., and Toint, P. L. (2000). Trust region methods, volume 1. SIAM.MATH
Cramer, E. J., Dennis, Jr, J., Frank, P. D., Lewis, R. M., and Shubin, G. R. (1994). Problem formulation for multidisciplinary optimization. SIAM Journal on Optimization, 4(4):754–776.MathSciNetMATH
DeMiguel, A.-V. and Murray, W. (2000). An analysis of collaborative optimization methods. In 8th AIAA/USAF/NASA/ISSMO symposium on multidisciplinary analysis and optimization, Long Beach, CA, USA.
DeMiguel, V. and Murray, W. (2006). A local convergence analysis of bilevel decomposition algorithms. Optimization and Engineering, 7(2):99–133.MathSciNetMATH
El Majd, B. A., Desideri, J.-A., and Habbal, A. (2010). Optimisation de forme fluide-structure par un jeu de Nash (in French). Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, (13):3–15.MathSciNet
Felippa, C. A., Park, K., and Farhat, C. (2001). Partitioned analysis of coupled mechanical systems. Computer methods in applied mechanics and engineering, 190(24–25):3247–3270.MATH
Golovidov, O., Kodiyalam, S., Marineau, P., Wang, L., and Rohl, P. (1998). Flexible implementation of approximation concepts in an MDO framework. In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, page 4959.
Gray, J. S., Hwang, J. T., Martins, J. R. R. A., Moore, K. T., and Naylor, B. A. (2019). OpenMDAO: An open-source framework for multidisciplinary design, analysis, and optimization. Structural and Multidisciplinary Optimization, 59(4):1075–1104.MathSciNet
Haftka, R. T. and Watson, L. T. (2005). Multidisciplinary design optimization with quasiseparable subsystems. Optimization and Engineering, 6(1):9–20.MathSciNetMATH
Han, J. and Papalambros, P. (2010). A Note on the Convergence of Analytical Target Cascading With Infinite Norms. Journal of Mechanical Design, 132(3):034502–034502–6.
Henderson, R., Martins, J. R. R. A., and Perez, R. (2012). Aircraft conceptual design for optimal environmental performance. Aeronautical Journal, 116(1175):1.
Hiriyannaiah, S. and Mocko, G. M. (2008). Information management capabilities of MDO frameworks. In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pages 635–645. American Society of Mechanical Engineers.
Huang, C.-H. and Bloebaum, C. (2004). Incorporation of preferences in multi-objective concurrent subspace optimization for multidisciplinary design. In 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, New York, USA.
Huang, H., An, H., Wu, W., Zhang, L., Wu, B., and Li, W. (2014). Multidisciplinary design modeling and optimization for satellite with maneuver capability. Structural and Multidisciplinary Optimization, 50(5):883–898.
Hwang, J. T., Lee, D. Y., Cutler, J. W., and Martins, J. R. R. A. (2013). Large-scale MDO of a small satellite using a novel framework for the solution of coupled systems and their derivatives. In 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Boston, MA, USA.
Keane, A. and Nair, P. (2005). Computational approaches for aerospace design: the pursuit of excellence. Wiley & Sons.
Kennedy, G. and Martins, J. (2014). A parallel aerostructural optimization framework for aircraft design studies. Structural and Multidisciplinary Optimization, 50(6):1079–1101.
Kenway, G., Kennedy, G., and Martins, J. R. R. A. (2014). Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations. AIAA Journal, 52(5):935–951.
Kim, H. (2001). Target Cascading in Optimal System Design. PhD thesis, University of Michigan, USA.
Kim, H., Chen, W., and Wiecek, M. (2006). Lagrangian Coordination for Enhancing the Convergence of Analytical Target Cascading. AIAA Journal, 44(10):2197–2207.
Lambe, A. B. and Martins, J. R. R. A. (2012). Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes. Structural and Multidisciplinary Optimization, 46(2):273–284.MATH
Martins, J. R. R. A. and Lambe, A. (2013). Multidisciplinary design optimization: a survey of architectures. AIAA Journal, 51(9):2049–2075.
McAllister, C. D. and Simpson, T. W. (2003). Multidisciplinary robust design optimization of an internal combustion engine. Journal of Mechanical Design, 125(1):124–130.
Michelena, N., Kim, H., and Papalambros, P. (1999). A system partitioning and optimization approach to target cascading. In 12th International Conference on Engineering Design. Munich, Germany.
Michelena, N., Park, H., and Papalambros, P. (2003). Convergence properties of analytical target cascading. AIAA Journal, 41(5):897–905.
Nguyen, N.-V., Choi, S.-M., Kim, W.-S., Lee, J.-W., Kim, S., Neufeld, D., and Byun, Y.-H. (2013). Multidisciplinary unmanned combat air vehicle system design using multi-fidelity model. Aerospace Science and Technology, 26(1):200–210.
Ortega, J. M. (1973). Stability of difference equations and convergence of iterative processes. SIAM Journal on Numerical Analysis, 10(2):268–282.MathSciNetMATH
Padula, S. and Gillian, R. (2006). Multidisciplinary environments: a history of engineering framework development. In 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, page 7083.
Pareto, V. (1971). Manual of Political Economy. A.M Kelley. New-York, NY, USA.
Perez, V., Renaud, J., and Watson, L. (2002). Reduced sampling for construction of quadratic response surface approximations using adaptive experimental design. In 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Denver, CO, USA.
Peri, D. and Campana, E. F. (2003). Multidisciplinary design optimization of a naval surface combatant. Journal of Ship Research, 47(1):1–12.
Renaud, J. and Gabriele, G. (1993). Improved Coordination in Nonhierarchic System Optimization. AIAA Journal, 31(12):2367–2373.MATH
Renaud, J. and Gabriele, G. (1994). Approximation in Nonhierarchic System Optimization. AIAA Journal, 32(1):198–205.MATH
Rodriguez, J. F., Perez, V. M., Padmanabhan, D., and Renaud, J. E. (2001). Sequential approximate optimization using variable fidelity response surface approximations. Structural and Multidisciplinary Optimization, 22(1):24–34.
Rodriguez, J. F., Renaud, J. E., and Watson, L. T. (1998). Trust region augmented Lagrangian methods for sequential response surface approximation and optimization. Journal of Mechanical Design, 120(1):58–66.
Salas, A. and Townsend, J. (1998). Framework requirements for MDO application development. In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, page 4740.
Salkuyeh, D. K. (2007). Generalized Jacobi and Gauss-Seidel methods for solving linear system of equations. Numerical mathematics—English series -, 16(2):164.MathSciNet
Sankararaman, S. and Mahadevan, S. (2012). Likelihood-based approach to multidisciplinary analysis under uncertainty. Journal of Mechanical Design, 134(3):031008.
Sellar, R. and Batill, S. (1996). Concurrent subspace optimization using gradient-enhanced neural network approximations. In 6th Symposium on Multidisciplinary Analysis and Optimization, Bellevue, WA, USA.
Sellar, R., Batill, S., and Renaud, J. (1996). Response surface based, concurrent subspace optimization for multidisciplinary system design. In 34th Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.
Sobieszczanski-Sobieski, J. (1988). Optimization by decomposition: a step from hierarchic to non-hierarchic systems. NASA Technical Report, CP-3031.
Sobieszczanski-Sobieski, J. (1990). Sensitivity of Complex Internally Coupled Systems. AIAA Journal, 28(1):153–160.
Sobieszczanski-Sobieski, J., Agte, J., and Sandusky, R. (1998). Bi-level integrated system synthesis (BLISS). NASA Technical Report TM-1998-208715.
Sobieszczanski-Sobieski, J., Agte, J. S., and Sandusky, R. R. (2000). Bi-level integrated system synthesis. AIAA Journal, 38(1):164–172.
Sobieszczanski-Sobieski, J. and Haftka, R. (1997). Multidisciplinary aerospace design optimization: survey of recent developments. Structural and Multidisciplinary Optimization, 14(1):1–23.
Tedford, N. P. and Martins, J. R. R. A. (2006). On the common structure of MDO problems: a comparison of architectures. In 11th AIAA/ISSMO multidisciplinary analysis and optimization conference, Portsmouth, VA.
Tedford, N. P. and Martins, J. R. R. A. (2010). Benchmarking multidisciplinary design optimization algorithms. Optimization and Engineering, 11(1):159–183.MathSciNetMATH
Tosserams, S., Etman, L. P., and Rooda, J. (2009). A classification of methods for distributed system optimization based on formulation structure. Structural and Multidisciplinary Optimization, 39(5):503.MathSciNetMATH
Tosserams, S., Kokkolaras, M., Etman, L., and Rooda, J. (2010). A nonhierarchical formulation of analytical target cascading. Journal of Mechanical Design, 132(5):051002.
Wujek, B., Renaud, J., and Batill, S. (1997). A Concurrent Engineering Approach for Multidisciplinary Design in a Distributed Computing Environment. Multidisciplinary Design Optimization: State-of-the-Art, N. Alexandrov and M.Y. Hussaini (Ed.), SIAM Series: Proceedings in Applied Mathematics 80, pp. 189–208.
Wujek, B., Renaud, J., Batill, S., and Brockman, J. (1996). Concurrent Subspace Optimization Using Design Variable Sharing in a Distributed Computing Environment. Concurrent Engineering, 4(4):361–377.
Yi, S.-I., Shin, J.-K., and Park, G. (2008). Comparison of MDO methods with mathematical examples. Structural and Multidisciplinary Optimization, 35(5):391–402.
Zadeh, P. M. and Toropov, V. (2002). Multi-fidelity multidisciplinary design optimization based on collaborative optimization framework. In 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, USA.
Zang, T. A., Hemsch, M. J., Hilburger, M. W., Kenny, S. P., Luckring, J. M., Maghami, P., Padula, S. L., and Stroud, W. J. (2002). Needs and opportunities for uncertainty-based multidisciplinary design methods for aerospace vehicles. NASA/TM-2002-211462, NASA Langley Research Center.
Metadata
Title
Multidisciplinary System Modeling and Optimization
Authors
Loïc Brevault
Mathieu Balesdent
Copyright Year
2020
Book
Aerospace System Analysis and Optimization in Uncertainty

Print ISBN: 978-3-030-39125-6

Electronic ISBN: 978-3-030-39126-3

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-39126-3_1