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An investigation of structural optimization in crashworthiness design using a stochastic approach
Engineering Research Nordic AB, Linköping, Sweden.
Centre of Structure technologies, Institute of Mechanical Systems, Swiss Federal Institute of Technology, Zurich, Switzerland.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, The Institute of Technology.
2004 (English)In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 27, no 6, 446-459 p.Article in journal (Refereed) Published
Abstract [en]

In this paper the response surface methodology (RSM) and stochastic optimization (SO) are compared with regard to their efficiency and applicability in crashworthiness design. Optimization of simple analytic expressions and optimization of a front rail structure are the applications used to assess the respective qualities of both methods. A low detail vehicle structure is optimized to demonstrate the applicability of the methods in engineering practice. The investigations reveal that RSM is better compared to SO for fewer than 10–15 design variables. The convergence behaviour of SO improves compared to RSM when the number of design variables is increased. A novel zooming method is proposed which improves the convergence behaviour. A combination of both the RSM and the SO is efficient, stochastic optimization could be used in order to determine appropriate starting points for an RSM optimization, which continues the optimization. Two examples are investigated using this combined method.

Place, publisher, year, edition, pages
2004. Vol. 27, no 6, 446-459 p.
Keyword [en]
finite element analysis, response surface methodology, stochastic optimization, structural optimization
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-46208DOI: 10.1007/s00158-004-0400-5OAI: diva2:267104
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2013-01-22
In thesis
1. On vehicle crashworthiness design using structural optimization
Open this publication in new window or tab >>On vehicle crashworthiness design using structural optimization
2004 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This dissertation addresses the problems and possibilities of using structural optimization in vehicle crashworthiness design. The first part of the thesis gives an introduction to vehicle crashworthiness design. The optimization methods presented are also used to exemplify how structural optimization and robustness analysis can be used in vehicle crashworthiness design.

In the second part of the thesis, five papers are appended, where different optimization methods are evaluated and improved for the usage in vehicle crashworthiness design. These papers concern the optimization methods Response Surface Methodology (RSM), Stochastic Optimization (SO) and Space Mapping (SM).

Each method has its advantages and disadvantages. The Response Surface Methodology is the easiest method to use and the method that most often finds the best design of these three methods. Generally RSM is rather expensive, especially when many design variables are used. Then, SO is an effective alternative because in this method the number of evaluations is independent of the number of design variables, which is not the case for RSM. Space Mapping is the cheapest method, because it needs only one or two evaluations per iteration. However, SM is generally a method to fmd an improved design with fulfilled constraints and sometimes not the absolute optimum solution but to a low cost. Hence, both RSM and SO may produce better designs but at the price of more response evaluations.

Place, publisher, year, edition, pages
Linköping: Linköpings univeristet, 2004. 46 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 863
National Category
Engineering and Technology
urn:nbn:se:liu:diva-24070 (URN)3630 (Local ID)91-7373-898-0 (ISBN)3630 (Archive number)3630 (OAI)
Public defence
2004-03-12, Hörsal Planck, Fysikhuset, Linköpings Universitet, Linköping, 10:15 (Swedish)
Available from: 2009-10-07 Created: 2009-10-07 Last updated: 2013-01-22

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