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- W2973447850 endingPage "105639" @default.
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- W2973447850 abstract "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." @default.
- W2973447850 created "2019-09-26" @default.
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- W2973447850 date "2019-12-01" @default.
- W2973447850 modified "2023-10-11" @default.
- W2973447850 title "Stochastic modeling techniques for textile yarn distortion and waviness with 1D random fields" @default.
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- W2973447850 doi "https://doi.org/10.1016/j.compositesa.2019.105639" @default.
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