Probability Distributions in the Glass Failure Prediction Model

Glass, a brittle material, fractures under tensile stress acting over a time duration. Lateral loads, such as wind, acting on a simply supported rectangular glass lite, put one surface of the lite primarily into tension. ASTM E 1300 defines load resistance of glass as the uniform lateral loading ac...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Samir Blanchet, H. Scott Norville, Stephen M. Morse
Formato:	article
Lenguaje:	EN
Publicado:	Challenging Glass Conference 2018
Materias:	Glass Failure Prediction Model Surface Flaw Parameters Weibull Distribution Equivalent Failure Load Clay industries. Ceramics. Glass TP785-869
Acceso en línea:	https://doaj.org/article/8431695102a74d5c98f8a34153336ba8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8431695102a74d5c98f8a34153336ba8
record_format	dspace
spelling	oai:doaj.org-article:8431695102a74d5c98f8a34153336ba82021-12-04T05:12:25ZProbability Distributions in the Glass Failure Prediction Model10.7480/cgc.6.21882589-8019https://doaj.org/article/8431695102a74d5c98f8a34153336ba82018-05-01T00:00:00Zhttps://proceedings.challengingglass.com/index.php/cgc/article/view/79https://doaj.org/toc/2589-8019 Glass, a brittle material, fractures under tensile stress acting over a time duration. Lateral loads, such as wind, acting on a simply supported rectangular glass lite, put one surface of the lite primarily into tension. ASTM E 1300 defines load resistance of glass as the uniform lateral loading acting over a duration of 3 seconds that is associated with a probability of breakage of 8 lites per 1000 at the first occurrence of the loading. To determine load resistance, the underlying window glass failure prediction model facilitates determination of a probability distribution of 3 second equivalent failure loads, P3. The glass failure prediction model is based on a Weibull distribution, and most people believe the distribution of P3 is, in fact, a Weibull distribution. However, the authors contend that this is not the case. This paper provides an explanation of the glass failure prediction model, its basis, and a discussion of the method for determining surface flaw parameters with an example. The authors demonstrate the distribution of the equivalent failure loads does not follow a Weibull distribution, and they will elucidate the relationship between the distribution of P3 and the Weibull distribution. Samir BlanchetH. Scott NorvilleStephen M. MorseChallenging Glass ConferencearticleGlass Failure Prediction ModelSurface Flaw ParametersWeibull DistributionEquivalent Failure LoadClay industries. Ceramics. GlassTP785-869ENChallenging Glass Conference Proceedings, Vol 6, Iss 1 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Glass Failure Prediction Model Surface Flaw Parameters Weibull Distribution Equivalent Failure Load Clay industries. Ceramics. Glass TP785-869
spellingShingle	Glass Failure Prediction Model Surface Flaw Parameters Weibull Distribution Equivalent Failure Load Clay industries. Ceramics. Glass TP785-869 Samir Blanchet H. Scott Norville Stephen M. Morse Probability Distributions in the Glass Failure Prediction Model
description	Glass, a brittle material, fractures under tensile stress acting over a time duration. Lateral loads, such as wind, acting on a simply supported rectangular glass lite, put one surface of the lite primarily into tension. ASTM E 1300 defines load resistance of glass as the uniform lateral loading acting over a duration of 3 seconds that is associated with a probability of breakage of 8 lites per 1000 at the first occurrence of the loading. To determine load resistance, the underlying window glass failure prediction model facilitates determination of a probability distribution of 3 second equivalent failure loads, P3. The glass failure prediction model is based on a Weibull distribution, and most people believe the distribution of P3 is, in fact, a Weibull distribution. However, the authors contend that this is not the case. This paper provides an explanation of the glass failure prediction model, its basis, and a discussion of the method for determining surface flaw parameters with an example. The authors demonstrate the distribution of the equivalent failure loads does not follow a Weibull distribution, and they will elucidate the relationship between the distribution of P3 and the Weibull distribution.
format	article
author	Samir Blanchet H. Scott Norville Stephen M. Morse
author_facet	Samir Blanchet H. Scott Norville Stephen M. Morse
author_sort	Samir Blanchet
title	Probability Distributions in the Glass Failure Prediction Model
title_short	Probability Distributions in the Glass Failure Prediction Model
title_full	Probability Distributions in the Glass Failure Prediction Model
title_fullStr	Probability Distributions in the Glass Failure Prediction Model
title_full_unstemmed	Probability Distributions in the Glass Failure Prediction Model
title_sort	probability distributions in the glass failure prediction model
publisher	Challenging Glass Conference
publishDate	2018
url	https://doaj.org/article/8431695102a74d5c98f8a34153336ba8
work_keys_str_mv	AT samirblanchet probabilitydistributionsintheglassfailurepredictionmodel AT hscottnorville probabilitydistributionsintheglassfailurepredictionmodel AT stephenmmorse probabilitydistributionsintheglassfailurepredictionmodel
_version_	1718372866680946688

Probability Distributions in the Glass Failure Prediction Model

Ejemplares similares