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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

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

Erschienen in: Structural and Multidisciplinary Optimization | Ausgabe 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.

Vorheriger Artikel A parallel aerostructural optimization framework for aircraft design studies

Nächster Artikel Integration of topology optimized designs into CAD/CAM via an IGES translator

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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.

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Titel: Optimal design of commercial vehicle systems using analytical target cascading
verfasst von: Namwoo Kang
Michael Kokkolaras
Panos Y. Papalambros
Seungwon Yoo
Wookjin Na
Jongchan Park
Dieter Featherman
Publikationsdatum: 01.12.2014
Verlag: Springer Berlin Heidelberg
Erschienen in: Structural and Multidisciplinary Optimization / Ausgabe 6/2014
Print ISSN: 1615-147X
Elektronische ISSN: 1615-1488
DOI: https://doi.org/10.1007/s00158-014-1097-8

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