Uncertain mesoscopic parameters in dry woven fabric with Gaussian Emulation Machine for Sensitivity Analysis (GEM-SA)

Uncertain mesoscopic parameters in dry woven fabric with Gaussian Emulation Machine for Sensitivity Analysis (GEM-SA)

An approach to investigate the influence of uncertain mesoscopic parameters on the macroscopic stiffness of dry woven fabric is presented. The key input parameters that have been investigated are the yarn spacing, the yarn width, the yarn height, fabric misalignment angle and the friction coefficien...

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Bibliographic Details
Main Authors: Bakar, I.A.A (Author), Junjunan S.F (Author), Kamaruddin, M.K (Author), Kurniawati F. (Author), Ramdani R. (Author)
Format: Article
Language:English
Published: Institute of Physics Publishing 2018
Subjects:
Aerospace engineering
Alignment
Friction
Friction coefficients
Frictional components
Frictional interactions
Macroscopic stiffness
Mesoscopic parameter
Probability density function
Probability density function (pdf)
Sensitivity analysis
Stiffness
Superconducting materials
Uncertainty analysis
Uniaxial tensile deformation
Weaving
Wool
Yarn
Yarn-yarn interaction
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