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Parameter identification for rubber materials with artificial spatially distributed data

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Abstract

In general, laboratory tests render only a limited number of experimental data. Consequently, the prediction of material behaviour becomes a difficult task and, moreover, a statistical analysis with a statistically based approach is almost impossible. In order to increase the number of data, a method is introduced to generate artificial data by stochastic simulation. In this way, an arbitrary number of data is available and the process of parameter identification can be analysed statistically. The special challenge is the consideration of spatial problems with inhomogeneous stress/strain fields that are measured with an optical system and have to be fitted to a stochastic model in order to generate artificial data. B-Splines are applied to approximate the measured data in space and time. The aim of the study is an analysis of material parameters due to scattering of experimental data.

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Acknowledgments

The financial support of this research by the German Research Foundation (DFG) under Grant MA 1979/16-1 is gratefully acknowledged.

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Authors and Affiliations

  1. Chair of Engineering Mechanics, University of Paderborn, Warburger Str. 100, 33098, Paderborn, Germany

    Nicole Nörenberg & Rolf Mahnken

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  1. Nicole Nörenberg
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  2. Rolf Mahnken
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Correspondence to Rolf Mahnken.

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Nörenberg, N., Mahnken, R. Parameter identification for rubber materials with artificial spatially distributed data. Comput Mech 56, 353–370 (2015). https://doi.org/10.1007/s00466-015-1175-9

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  • DOI: https://doi.org/10.1007/s00466-015-1175-9

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