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Application of gradient based algorithms for robust shape optimization of a tensile test specimen
Author(s) -
Abel Bengt,
Schumacher Axel,
Bartsch Marion
Publication year - 2008
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.200810025
Subject(s) - computation , robust optimization , stochastic optimization , automotive industry , reliability (semiconductor) , optimization algorithm , mathematical optimization , computer science , algorithm , component (thermodynamics) , function (biology) , mathematics , engineering , physics , power (physics) , quantum mechanics , evolutionary biology , biology , thermodynamics , aerospace engineering
In case of technical applications such as automotive or aeronautic part optimization, uncertainties in design variables and other parameters have to be taken into account. Especially, scattering of material properties and mechanical loads have large influences on the component behavior. Due to the difficulty in calculating of sensitivities, usually stochastic algorithms are used for robust and reliability optimization. That entails a large number of function calls and long computation time. Therefore, the stochastic responses with expectation value and variances will be approximated by response surfaces in this contribution. Based on the practical example of a tensile test specimen a deterministic optimization and optimization under uncertainties will be done. The results of the different optimizations will be compared and the influence of the uncertainties will be shown and discussed. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)