2018
DOI: 10.1016/j.compstruct.2018.08.074
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A Bayesian framework for assessing the strength distribution of composite structures with random defects

Abstract: This paper presents a novel stochastic framework to quantify the knock down in strength from out-of-plane wrinkles at the coupon level. The key innovation is a Markov Chain Monte Carlo algorithm which rigorously derives the stochastic distribution of wrinkle defects directly informed from image data of defects. The approach significantly reduces uncertainty in the parameterization of stochastic numerical studies on the effects of defects. To demonstrate our methodology, we present an original stochastic study … Show more

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Cited by 23 publications
(14 citation statements)
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“…In complex composite manufacturing processes, uncertainty arises from a number of different sources, e.g. material variability [3], machine tolerance [4] and process-induced defects such as fibre waviness or ply wrinkling [5,6,7,8]. However, statistical simulations typically require a large number of analyses, and thus can become extremely computationally expensive.…”
Section: Introductionmentioning
confidence: 99%
“…In complex composite manufacturing processes, uncertainty arises from a number of different sources, e.g. material variability [3], machine tolerance [4] and process-induced defects such as fibre waviness or ply wrinkling [5,6,7,8]. However, statistical simulations typically require a large number of analyses, and thus can become extremely computationally expensive.…”
Section: Introductionmentioning
confidence: 99%
“…Wrinkle defects, which can form during the manufacturing process [31,32], occur at the layer scale. They lead to strong local stress concentrations [6,33], causing premature failure. Naturally, good mesh resolution around the defect is required, leading to finite element calculations with very large number of degrees of freedom.…”
Section: Example 2 : Corner Unfolding -Validation and Performance Compamentioning
confidence: 99%
“…In this section we describe an industrially motivated example in which we asses the strength of an airplane wingbox with a small localised wrinkle defect in one corner. Wrinkle defects often form during the manufacturing process and lead to strong local stress concentrations, which may cause premature failure [9,10]. More details on this test setup can be found in [7].…”
Section: Industrially-motivated Example: Wingboxmentioning
confidence: 99%
“…In total the laminate is made up of 39 fibrous layers and 38 resin layers. One of the corner radii contains a localised wrinkle with a parametrisation matching an observed defect in a CT-Scan of a real corner section, for further details see [10]. Two forms of loading are applied, an internal pressure of 0.109MPa, arising from the fuel, is applied to the internal surface and a thermal pre-stress induced by the manufacturing process is imposed.…”
Section: Industrially-motivated Example: Wingboxmentioning
confidence: 99%