An Analysis of Glass Fracture Statistics

A numerical method is applied to model the fracture stress and failure location in glass panes subjected to various bending arrangements. The method assumes the weakest-link principle and the existence of surface microcracks. The fracture stress and failure origin are revealed through a search algo...

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Autores principales:	David T. Kinsella, Kent Persson
Formato:	article
Lenguaje:	EN
Publicado:	Challenging Glass Conference 2018
Materias:	Glass fracture statistics fracture mechanics Monte Carlo Clay industries. Ceramics. Glass TP785-869
Acceso en línea:	https://doaj.org/article/64845f3df4204abfa0d03d79f3cc27f8
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id	oai:doaj.org-article:64845f3df4204abfa0d03d79f3cc27f8
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spelling	oai:doaj.org-article:64845f3df4204abfa0d03d79f3cc27f82021-12-04T05:12:24ZAn Analysis of Glass Fracture Statistics10.7480/cgc.6.21902589-8019https://doaj.org/article/64845f3df4204abfa0d03d79f3cc27f82018-05-01T00:00:00Zhttps://proceedings.challengingglass.com/index.php/cgc/article/view/90https://doaj.org/toc/2589-8019 A numerical method is applied to model the fracture stress and failure location in glass panes subjected to various bending arrangements. The method assumes the weakest-link principle and the existence of surface microcracks. The fracture stress and failure origin are revealed through a search algorithm. The magnitude of strength and the location of fracture are stochastic in nature and can be predicted based on a suitable representation of the surface flaws condition. When the crack size distribution is assumed to be Pareto, the strength distribution is found to be very similar to a Weibull distribution. The stresses in large laterally supported plates which are subjected to uniform pressure are modelled and the distribution of fracture location is determined based on a single population of cracks with a Pareto distributed crack size. Two types of gasket support materials are considered, neoprene and nylon. The softer gasket material produces a greater number of fractures nearer the corners of the plate. A comparison is made with the recorded fracture locations according to various experiments. In addition, a tall vertical panel of laminated glass with a complex geometry and which is subjected to dynamic impact loading is modelled and the distribution of fracture location is determined based on a single population of cracks with a Pareto distributed crack size. David T. KinsellaKent PerssonChallenging Glass ConferencearticleGlassfracture statisticsfracture mechanicsMonte CarloClay industries. Ceramics. GlassTP785-869ENChallenging Glass Conference Proceedings, Vol 6, Iss 1 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Glass fracture statistics fracture mechanics Monte Carlo Clay industries. Ceramics. Glass TP785-869
spellingShingle	Glass fracture statistics fracture mechanics Monte Carlo Clay industries. Ceramics. Glass TP785-869 David T. Kinsella Kent Persson An Analysis of Glass Fracture Statistics
description	A numerical method is applied to model the fracture stress and failure location in glass panes subjected to various bending arrangements. The method assumes the weakest-link principle and the existence of surface microcracks. The fracture stress and failure origin are revealed through a search algorithm. The magnitude of strength and the location of fracture are stochastic in nature and can be predicted based on a suitable representation of the surface flaws condition. When the crack size distribution is assumed to be Pareto, the strength distribution is found to be very similar to a Weibull distribution. The stresses in large laterally supported plates which are subjected to uniform pressure are modelled and the distribution of fracture location is determined based on a single population of cracks with a Pareto distributed crack size. Two types of gasket support materials are considered, neoprene and nylon. The softer gasket material produces a greater number of fractures nearer the corners of the plate. A comparison is made with the recorded fracture locations according to various experiments. In addition, a tall vertical panel of laminated glass with a complex geometry and which is subjected to dynamic impact loading is modelled and the distribution of fracture location is determined based on a single population of cracks with a Pareto distributed crack size.
format	article
author	David T. Kinsella Kent Persson
author_facet	David T. Kinsella Kent Persson
author_sort	David T. Kinsella
title	An Analysis of Glass Fracture Statistics
title_short	An Analysis of Glass Fracture Statistics
title_full	An Analysis of Glass Fracture Statistics
title_fullStr	An Analysis of Glass Fracture Statistics
title_full_unstemmed	An Analysis of Glass Fracture Statistics
title_sort	analysis of glass fracture statistics
publisher	Challenging Glass Conference
publishDate	2018
url	https://doaj.org/article/64845f3df4204abfa0d03d79f3cc27f8
work_keys_str_mv	AT davidtkinsella ananalysisofglassfracturestatistics AT kentpersson ananalysisofglassfracturestatistics AT davidtkinsella analysisofglassfracturestatistics AT kentpersson analysisofglassfracturestatistics
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An Analysis of Glass Fracture Statistics

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