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Stochastic modeling techniques for textile yarn distortion and waviness with 1D random fields
Publikationstyp
Journal Article
Date Issued
2019-12
Sprache
English
Author(s)
TORE-URI
Volume
127
Article Number
105639
Citation
Composites Part A: Applied Science and Manufacturing (127): 105639 (2019-12)
Publisher DOI
Scopus ID
Within the concept of simulation approaches for manufacturing-induced imperfections of composite structures, this work proposes modeling frameworks for the consideration of stochastic deviations concerning the yarns of textile composite materials. The random distortion of a yarn's cross-section, is addressed by flexible 1D Fourier-based random fields, with the potential to be calibated from measurements of the deviations from the nominal yarn shape and their statistical characteristics. Furthermore, a Kriging-based modeling approach is presented, able to randomize any nominal yarn path in short or long range problems, considering data for the correlation and variance in a straightforward manner. The effects of defects due to stochastic yarn distortion and waviness, are investigated by simulating a forward uncertainty propagation problem of a triaxially braided composite material. The response variability concerning stiffness and strength for different uncertainty levels is highlighted, while several comments are offered regarding numerical issues and potential surrogate modeling techniques.
Subjects
Braided composites
Kriging
Random fields
Stochastic modeling
Yarn distortion
Yarn waviness