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Multi-Objective Optimization of a Car Body Structure

Authors: Jakub Korta; Rosario Raniolo; Marco Danti; Izabela Kowarska; Tadeusz Uhl;

Multi-Objective Optimization of a Car Body Structure

Abstract

<div class="section abstract"><div class="htmlview paragraph">In the last years engineers have to deal with multiple, often conflicting targets, where improvement of one quantity leads to deterioration of others, therefore it is impossible to obtain simultaneous structure enhancements without automatic optimizations tools. The so-called trade-offs have to be applied, providing less efficient modifications, nevertheless, for all of the design objectives. The Pareto front is a method that helps to determine a set of equipotential designs.</div><div class="htmlview paragraph">In order to explore entire design space, response surface methodology supplemented by genetic algorithms is often used. In the work presented, the Gaussian Processes Methodology and an Adaptive Range Multi-Objective Genetic Algorithm - ARMOGA were implemented. Basing on the solutions obtained by the design of experiment, response surface methodology is used to predict the values of the measured outputs throughout the full range of interest. Since only a reduced number of tests is needed, the overall computational time is strongly reduced. Subsequent application of genetic algorithms, provide the possibility of detailed exploration of established metamodels.</div><div class="htmlview paragraph">In Centro Ricerche Fiat S.C.p.A. an effort of elaborating a novel optimization platform for linking different engineering fields has been undertaken. Noise, Vibration and Harshness, static strength computations, ergonomics and aerodynamics analysis have been coupled in one process, in order to find the most optimal trade-off solutions in Pareto sense during the first phases of the architectural development (early stage design phase).</div><div class="htmlview paragraph">The main goal of this kind of approach is to increase the product quality, by attaining multiple advances and reduce time-to-market. Simultaneous usage of RSM and genetic algorithm in purpose of conducting optimization, has improved all of the design objectives, keeping the resultant car body shape respect to the ergonomics constraints. Structural modifications were applied by means of the morphing technology, providing changes in the geometry in fully controllable manner.</div></div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Average
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