The results are compared with experimental data. The method is general and can be applied to a range of specimen geometries, loading setups and support conditions. In this article, a numerical method for predicting the failure of glass is investigated and applied to double ring bending tests. Shear stress is generally not considered in current failure models for glass. Moreover, a study has indicated that shear stress might affect the observed strength of glass in double ring bending tests (Reid 2007). The search for a failure prediction model is therefore as topical as ever. At the same time, structural glass is gaining in popularity among designers and units are being installed in buildings and public spaces worldwide at an increasing rate. As regards the GFPM, it has been said that it “is best suited to representing glass strength for specific test conditions.” (Reid 2007) Neither the standard distributions nor the GFPM are able to consistently provide for an acceptable goodness-of-fit while modelling data from experiments, something that is called for in a prediction model with true potential. A range of experiments have shown a consistent bilinearity in the probability plots when the Weibull distribution is used for modelling the strength of annealed glass (Veer 2007 Veer et al. There is disagreement among researchers as to which prediction model is the correct one to use (Fischer-Cripps and Collins 1995). Predictions are based either on some standard distribution or on tables and diagrams obtained using a modelling tool such as the Glass Failure Prediction Model (GFPM) (Beason and Morgan 1984). Typically, the strength is explained assuming the existence of Griffith flaws and supposing the weakest-link principle. In order to explain and predict the strength of annealed glass a range of concepts and methods have been applied with mixed results.
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