A Process for Stochastic Material Analysis based on Empirical Data

Authors

  • D. Jürgens
  • M. Krosche
  • R. Niekamp

Abstract

Material properties are often dominated by imperfections and geometrical variations in micro-scale. The manufacturing process of complex parts as stringers and their assembly creates specific microscopic imperfections whose influence to phenomena like delamination growth can not be understood with a deterministic homogenised material model. This paper describes a general approach to develop a stochastic model of anisotropic micro-structure on the basis of high-resolution image data. This approach uses a surrogate model for approximating material properties of meso-scale material blocks. The empirical material properties provided by the surrogate model are analysed for their marginal distribution and spatial covariance.

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Published

2019-07-04

How to Cite

Jürgens, D., Krosche, M. and Niekamp, R. (2019) “A Process for Stochastic Material Analysis based on Empirical Data”, Technische Mechanik - European Journal of Engineering Mechanics, 32(2-5), pp. 303–306. Available at: https://journals.ub.ovgu.de/index.php/techmech/article/view/724 (Accessed: 29 March 2024).

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