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Experimental and finite element robustness studies of a bumper system subjected to an offset impact loading
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, The Institute of Technology.
Gestamp Hardtech AB, Luleå.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, The Institute of Technology.
Linköping University, Department of Management and Engineering, Solid Mechanics. Linköping University, The Institute of Technology.
2011 (English)In: International Journal of Crashworthiness, ISSN 1358-8265, E-ISSN 1754-2111, Vol. 16, no 2, 155-168 p.Article in journal (Refereed) Published
Abstract [en]

A product of high quality is a product that performs well, not only in exactly the situations it was designed to handle but also in slightly different situations that arise in the usage of the product. As a specific example, the performance of a bumper system should not depend on small fluctuations in the manufacturing process or on small variations in the impact event. In this work, the robustness of an existing vehicle bumper system subjected to a crash load has been evaluated both experimentally and numerically. In the latter case, different widely used approaches to numerically assess the robustness have been utilised. A reliable numerical robustness study provides the designer with a valuable tool for improving a design, and an evaluation of these methods in this context is therefore of interest. It is concluded that for the example under study, both the Monte Carlo method and the metamodel-based Monte Carlo methods work well. Furthermore, for moderate dispersions levels, i.e. a small design space with no bifurcation in the deformation pattern, a linear response approximation is shown to have a sufficient accuracy to be used in the metamodel-based robustness analysis. The performed numerical robustness studies also point out that the performance of a nominal simulation, i.e. a simulation conducted with mean values for all variables, does not in general predict the mean performance of the finite element model. Finally, some possible design improvements for the bumper system under study are also identified

Place, publisher, year, edition, pages
Abingdon, Oxford, UK: Taylor & Francis Group , 2011. Vol. 16, no 2, 155-168 p.
Keyword [en]
experimental robustness, numerical robustness, Monte Carlo, metamodel, sensitivity analysis
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-70195DOI: 10.1080/13588265.2010.539339OAI: oai:DiVA.org:liu-70195DiVA: diva2:436725
Available from: 2011-08-24 Created: 2011-08-24 Last updated: 2017-12-08
In thesis
1. Robust optimisation of structures: Evaluation and incorporation of variations in simulation based design
Open this publication in new window or tab >>Robust optimisation of structures: Evaluation and incorporation of variations in simulation based design
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis concerns the robustness of structures considering various uncertainties. The overall objective is to evaluate and develop simulation based design methods in order to find solutions that are optimal both in the sense of handling typical load cases and minimising the variability of the response, i.e. robust optimal designs. Conventionally optimised structures may show a tendency of being sensitive to small perturbations in the design or loading conditions. These variations are of course inevitable. To create robust designs, it is necessary to account for all conceivable variations (or at least the influencing ones) in the design process. The thesis is divided into two parts. The first part serves as a theoretical background for this work. It includes introductions to the concept of robust design, basic statistics, optimisation theory and metamodelling. The second part consists of five appended papers on the topic.

The first and third papers focuse on the evaluation of robustness, given some dispersions in the input data. Established existing methods are applied, and for paper three, comparisons with experimentally evaluated dispersions on a larger system are made.

The second and fourth paper introduce two new approaches to perform robust optimisation, i.e. optimisations where the mean performance and the robustness in the objectives are simultaneously optimised. These methods are demonstrated both on an analytical example and on a Finite Element model design example. The fifth paper studies the variations in mechanical properties between several different batches of the same steel grade. A material model is fitted to each batch of material, whereby dispersions seen in test specimens are transferred to material model parameter variations. The correlations between both test and material model parameters are studied.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2011. 39 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1382
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-70199 (URN)978-91-7393-129-8 (ISBN)
Public defence
2011-09-23, C3, Hus C, Campus Valla, Linköpings universitet, Linköping, 10:15 (Swedish)
Opponent
Supervisors
Available from: 2011-08-24 Created: 2011-08-24 Last updated: 2011-09-07Bibliographically approved

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Lönn, DavidNilsson, LarsgunnarSimonsson, Kjell

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