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Structural and Multidisciplinary Optimization
Erschienen in: Structural and Multidisciplinary Optimization 4/2016

20.04.2016 | RESEARCH PAPER

Multiparametric optimization for multidisciplinary engineering design

verfasst von: Jonathon Leverenz, Meng Xu, Margaret M. Wiecek

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 4/2016

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Abstract

The area of Multiparametric Optimization (MPO) solves problems that contain unknown problem data represented by parameters. The solutions map parameter values to optimal design and objective function values. In this paper, for the first time, MPO techniques are applied to improve and advance Multidisciplinary Design Optimization (MDO) to solve engineering problems with parameters. A multiparametric subgradient algorithm is proposed and applied to two MDO methods: Analytical Target Cascading (ATC) and Network Target Coordination (NTC). Numerical results on test problems show the proposed parametric ATC and NTC methods effectively solve parametric MDO problems and provide useful insights to designers. In addition, a novel Two-Stage ATC method is proposed to solve nonparametric MDO problems. In this new approach elements of the subproblems are treated as parameters and optimal design functions are constructed for each one. When the ATC loop is engaged, steps involving the lengthy optimization of subproblems are replaced with simple function evaluations.
Vorheriger Artikel Topology optimization based on finite strain plasticity
Nächster Artikel On the computation of solution spaces in high dimensions

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Literatur
Bemporad A, Filippi C (2006) An algorithm for approximate multiparametric convex programming. Comput Optim Appl 35(1):87–108MathSciNetCrossRefMATH
Bertsekas D (1999) Nonlinear Programming. Athena Scientific
Domínguez L, Pistikopoulos E (2013) A quadratic approximation-based algorithm for the solution of multiparametric mixed-integer nonlinear programming problems. AICHE J 59(2):483– 495CrossRef
Domínguez L, Narciso D, Pistikopoulos E (2010) Recent advances in multiparametric nonlinear programming. Comput Chem Eng 34:707–716CrossRef
Ehrgott M (2005) Multicriteria Optimization, 2nd edn. Springer
Fiacco A (1983) Introduction to Sensitivity and Stability Analysis in Nonlinear Programming, Mathematics in Science and Engineering, vol 165. Academic Press
Gardenghi M, Wiecek M, Wang W (2013) Biobjective optimization for analytical target cascading: optiMality vs. achievability. Struct Multidiscip O 47:111–133MathSciNetCrossRefMATH
Gobbi M, Mastinu G (2001) Analytical description and optimization of the dynamic behaviour of passively suspended road vehicles. J Sound Vib 245(3):457–481CrossRef
Guarneri M, Gobbi M, Papalambros P (2009) Multi-objective, multi-level design optimization of ground vehicle suspension design. In: 8th WCSMO Conference, Lisbon, Portugal
Guarneri M, Gobbi M, Papalambros P (2011) Efficient multi-level design optimization using analytical target cascading and sequential quadratic programming. Struct Multidiscip O 44(3):351– 362MathSciNetCrossRefMATH
Guarneri P, Leverenz J, Wiecek M, Fadel G (2013) Optimization of nonhierarchically decomposed problems. J Comput Appl Math 246:312–319MathSciNetCrossRefMATH
Haftka R, Gürdal Z (1992) Elements of Structural Optimization, 3rd edn. Kluwer Publishers
Hegranæs Ø, Gravdahl J, Tøndel P (2005) Spacecraft altitude control using explicit model predictive control. Automatica 41(12):2107–2114MathSciNetCrossRefMATH
Johansen T (2002) On multi-parametric nonlinear programming and explicit nonlinear model predictive control. In: Proceedings 41st IEEE Conf Decis Control, Las Vegas, NV
Kim HM, Michelena NF, Papalambros PY, Jiang T (2003a) Target cascading in optimal system design. J Mech Des 125(3):474– 480
Kim HM, Rideout DG, Papalambros PY, Stein JL (2003b) Analytical target cascading in automotive vehicle design. J Mech Des 125:481–489
Kosmidis V, Panga A, Sakizlis V, Charles G, Kenchington S, Bozinis N, Pistikopoulos E (2006) Output feedback parametric controllers for an active valve train actuation system. In: Proceedings 45th IEEE Conf Decis Control, San Diego, CA
Leverenz J (2015) Network Target Coordination for Multiparametric Programming. PhD thesis Clemson University, Clemson, SC
Li L, Zabinsky Z (2011) Incorporating uncertainty into a supplier selection problem. Int J Prod Econ 134:344–356CrossRef
Li Y, Lu Z, Michalek J (2008) Diagonal quadratic approximation for parallelization of analytical target cascading. J Mech Des 051(5):402
Pistikopoulos E, Dua V, Bozinis N, Bemporad A, Morari M (2002) On-line optimization via off-line parametric optimization tools. Comput Chem Eng 26:175–184CrossRef
Simpson T, Martins J (2011) Multidisciplinary design optimization for complex engineered systems design: Report from an NSF workshop. J Mech Des 133(101):002
Sobieszczanski-Sobieski J, Altus T, Phillips MRS (2003) Bi-level integrated system synthesis for concurrent and distributed processing. AIAA J 41(10):1996–2003CrossRef
Tosserams S (2008) Distributed optimization for systems design: an augmented lagrangian coordination method. Wohrmann Print Service, NetherlandsMATH
Tosserams S, Etman L, Rooda J (2009) A micro-accelerometer mdo benchmark problem. Struct Multidiscip O 41(2):255–275CrossRef
Tosserams S, Kokkolaras M, Etman L, Rooda J (2010) A nonhierarchical formulation of analytical target cascading. J Mech Des 051(5):002
Wang W, Xu M, Guarneri P, Fadel G, Blouin V (2012) A consensus optimization via alternating direction method of multipliers for network target coordination
Wang W, Blouin V, Gardenghi M, Wiecek M, Fadel G, Sloop B (2013) A cutting plane method for analytical target cascading with augmented Lagrangian coordination. J Mech Des 135(10)
Xu M, Wang W, Guarneri P, Fadel G (2013) CADMM Applied to hybrid network decomposition, Orlando, FL
Xu M, Wang W, Guarneri P, Fadel G (2014) Solving structure for network-decomposed problems optimized with augmented Lagrangian coordination. In: ASME 2014 IDETC/CIE Conference
Xu M, Fadel G, Wiecek MM (2015) Dual residual for centralized augmented Lagrangian coordination based on optiMality conditions. J Mech Des 137(6)
Metadaten
Titel
Multiparametric optimization for multidisciplinary engineering design
verfasst von
Jonathon Leverenz
Meng Xu
Margaret M. Wiecek
Publikationsdatum
20.04.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Structural and Multidisciplinary Optimization / Ausgabe 4/2016
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-016-1437-y

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