journal article·2014-01

Probabilistic failure simulation of glass fibre reinforced weft-knitted thermoplastics

M. Thieme, R. Boehm, M. Gude, W. Hufenbach

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Abstract

Abstract If textile-reinforced composites should be put into practice, the proof of load-bearing capacity has to be provided. For this purpose, deterministic overall safety proofs without material adapted partial safety factors are used which do not meet the textile-specific scatter characteristics and therefore neglect many advantages of those composites. Based on deterministic stress-based failure criteria and given loading conditions, a probabilistic methodology to predict the joint failure probability is proposed. The methodology is verified experimentally for hybrid yarn based textile thermoplastics. A statistical material characterisation using flat specimens, multi-axial tests with tube specimens and a Monte-Carlo simulation are used for that purpose. As a significant outcome of the study, the reliability of the failure prediction is significantly improved especially for multi-axial stress states with failure mode interaction. Based on the improved knowledge about the anisotropic material uncertainties, a more significant partial safety factor can be determined.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Mechanical Behavior of Composites · Textile materials and evaluations · Natural Fiber Reinforced Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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