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Probabilistic method for composite first ply failure model parameter fitting

The NAFEMS Eastern European 2020 Virtual Conference took place on the 23rd and 24th of September 2020. The event gave participants access to high level presentations in the field of structural mechanics, computational fluid dynamics, electromagnetics and discrete element methods.



Resource Abstract

The importance of continuous fiber reinforced plastics (CFRPs) has been rising in the last decades due to the ability to construct lightweight structures from them that also produces a nice and shiny outfit for the final product. However, these days CFRPs mean much more than this. The ever-improving composite manufacturing technologies in terms of complexity, cost and productivity made CFRPs more affordable to all “less exclusive” industrial segments. However, a number of practical issues slow down the process of CFRPs spreading wider.



In our work we aimed to quantify the level of uncertainty due to the scatter in strength

properties and as a result of the theoretical failure model selection. We have developed a fully probabilistic fitting procedure which is able to provide information about the strength values and any additional parameters of the selected first ply failure model as a function of the specified probability level of failure. The method requires raw ply in-plane stresses at the point of failure as input from mechanical testing. Then the algorithm implements a maximum likelihood method-based optimization of the parameters of the selected theoretical failure model. The objective function of this optimization is the likelihood of failure at the given stress state including all specimens that are evaluated using an advanced sampling method.

Document Details

ReferenceC_Sep_20_EE_15
AuthorKovacs. L
LanguageEnglish
TypePresentation Recording
Date 23rd September 2020
OrganisationeCon Engineering
RegionEastern Europe

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