Robust optimization of front members in a full frontal car impact
2013 (English)In: Engineering optimization (Print), ISSN 0305-215X, Vol. 45, no 3, 245-264 p.Article in journal (Refereed) Published
In the search for lightweight automobile designs, it is necessary to assure that robust crashworthiness performance is achieved. Structures that are optimized to handle a finite number of load cases may perform poorly when subjected to various dispersions. Thus, uncertainties must be accounted for in the optimization process. This article presents an approach to optimization where all design evaluations include an evaluation of the robustness. Metamodel approximations are applied both to the design space and the robustness evaluations, using artifical neural networks and polynomials, respectively. The features of the robust optimization approach are displayed in an analytical example, and further demonstrated in a large-scale design example of front side members of a car. Different optimization formulations are applied and it is shown that the proposed approach works well. It is also concluded that a robust optimization puts higher demands on the finite element model performance than normally.
Place, publisher, year, edition, pages
TAYLOR and FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND , 2013. Vol. 45, no 3, 245-264 p.
robust optimization, dual response surface, metamodel, genetic algorithm
Engineering and Technology
IdentifiersURN: urn:nbn:se:liu:diva-97000DOI: 10.1080/0305215X.2012.669380ISI: 000322306000001OAI: oai:DiVA.org:liu-97000DiVA: diva2:644836
Funding Agencies|ROBDES project||Research Council of Norway||Hydro Aluminium Structures||Volvo Car Corporation||Scania||SSAB Tunnplat||Gestamp Hardtech||2013-09-022013-09-022013-09-02