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Structural and Multidisciplinary Optimization

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01-12-2014 | INDUSTRIAL APPLICATION

Optimal design of commercial vehicle systems using analytical target cascading

Authors: Namwoo Kang, Michael Kokkolaras, Panos Y. Papalambros, Seungwon Yoo, Wookjin Na, Jongchan Park, Dieter Featherman

Published in: Structural and Multidisciplinary Optimization | Issue 6/2014

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Abstract

This paper presents an industrial application of the analytical target cascading methodology to optimal design of commercial vehicle systems. The design problems concern the suspension of a heavy-duty truck and the body structure of a small bus. The results provide valuable insights in the feasibility of system-level design targets and the adequacy of subproblem design spaces during product development.

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This is the case for both design examples and all levels presented in this paper.

2On an Intel i7 CPU 860@2.80GHz and 8.00GB RAM, one systemlevel function evaluation (i.e., Radioss simulation) takes 5 seconds on average, and the subproblem solution required 40 function evaluations on average; at the subsystem level, one Optistruct problem solution required 20 seconds on average. Consequently, one ATC iteration requires roughly 4 minutes.

On an Intel i7 CPU 860@2.80GHz and 8.00GB RAM, one system-level function evaluation (i.e., Radioss simulation) takes 7 minutes on average, and the subproblem solution required 50 function evaluations on average; at the subsystem level one function evaluation takes 12 seconds on average, and each of the two subproblems required 800 function evaluations on average; at the component level, computational cost is negligible. Consequently, one ATC iteration requires roughly half a day.

Allison J, Walsh D, Kokkolaras M, Papalambros PY, Cartmell M (2006) Analytical target cascading in aircraft design. In: 44th AIAA Aerospace Sciences Meeting and Exhibit. Reno. AIAA- 2006-1325

Altair (2012) OptiStruct Version 11.0, Available at: http://www.altairhyperworks.com

Altair (2012) Radioss Version 11.0, Available at: http://www.altairhyperworks.com

Blouin VY, Samuels HB, Fadel GM, Haque IU, Wagner JR (2004) Continuously variable transmission design for optimum vehicle performance by analytical target cascading. Int J Heavy Veh Syst 11(3–4):327–348CrossRef

Choudhary R, Malkawi A, Papalambros PY (2005) Analytic target cascading in simulation-based building design. Autom Constr 14(4):551–568CrossRef

Han J, Papalambros PY (2010) A note on the convergence of analytical target cascading with infinite norms. ASME J Mech Des 132(3):034502 1–6CrossRef

Kang N, Kokkolaras M, Papalambros PY (2013) Solving multiobjective optimization problem using quasi-separable MDO formulations and analytic target cascading. In: 10th World Congress on Structural and Multidisciplinary Optimization. Orlando

Kim HM(2001) Target cascading in optimal system design, Ph.D. Dissertation, Mechanical Engineering Dept., University of Michigan, Ann Arbor, MI

Kim HM, Kokkolaras M, Louca LS, Delagrammatikas GJ, Michelena NF, Filipi ZS, Papalambros PY, Stein JL, Assanis DN (2002) Target cascading in vehicle redesign: a class VI truck study. Int J Veh Des 29(3):199–225CrossRef

Kim HM,Michelena NF, Papalambros PY, Jiang T (2003a) Target cascading in optimal system design. ASME J Mech Des 125(3):474–480CrossRef

Kim HM, Rideout DG, Papalambros PY, Stein JL (2003b) Analytical target cascading in automotive vehicle design. ASME J Mech Des 125:481–489CrossRef

Kokkolaras M, Louca LS, Delagrammatikas GJ, Michelena NF, Filipi ZS, Papalambros PY, Stein JL, Assanis DN (2004) Simulation-based optimal design of heavy trucks by model-based decomposition: an extensive analytical target cascading case study. Int J Heavy Veh Syst 11(3-4):403–433CrossRef

Lassiter JB, Wiecek MM, Andrighetti KR (2005) Lagrangian coordination and analytical target cascading: solving ATC-decomposed problems with Lagrangian duality. Optim Eng 6(3):361381CrossRefMathSciNet

Li Z, Kokkolaras M, Papalambros P, Hu SJ (2008a) Product and process tolerance allocation in multi-station compliant assembly using analytical target cascading. ASME J Mech Des 130(9):091701 1–9CrossRef

Li Y., Lu Z., Michalek J. J. (2008b) Diagonal quadratic approximation for parallelization of analytical target cascading. ASME J Mech Des 130(5):051402 111CrossRef

MathWorks (2012) Matlab R2012a, Available at: http://www.mathworks.com

Michelena N, Park H, Papalambros PY (2003) Convergence properties of analytical target cascading. AIAA J 41(5):897–905CrossRef

Tosserams S, Etman LFP, Papalambros PY, Rooda JE (2006) An augmented Lagrangian relaxation for analytical target cascading using the alternating directions method of multipliers. StructMultidiscip Optim 31(3):176–189CrossRefMATHMathSciNet

Tosserams S, Kokkolaras M, Etman LFP, Rooda JE (2010) A nonhierarchical formulation of analytical target cascading. ASME J Mech Des 132:051002 1–12CrossRef

Wang W, Blouin VY, Gardenghi MK, Fadel GM, Wiecek MM, Sloop BC (2013) Cutting plane methods for analytical target cascading with augmented Lagrangian coordination. ASME J Mech Desi 135(10):104502 1–6

Title: Optimal design of commercial vehicle systems using analytical target cascading
Authors: Namwoo Kang
Michael Kokkolaras
Panos Y. Papalambros
Seungwon Yoo
Wookjin Na
Jongchan Park
Dieter Featherman
Publication date: 01-12-2014
Publisher: Springer Berlin Heidelberg
Published in: Structural and Multidisciplinary Optimization / Issue 6/2014
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-014-1097-8

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