@inproceedings{30e489b380644f8aad9a8e2fbcbd3fbd,

title = "Probability distributions in the glass failure prediction model",

abstract = "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.",

keywords = "Equivalent failure load, Glass failure prediction model, Surface flaw parameters, Weibull distribution",

author = "Samir Blanchet and {Scott Norville}, H. and Morse, {Stephen M.}",

year = "2018",

month = jan,

day = "1",

doi = "10.7480/cgc.6.2188",

language = "English",

series = "Challenging Glass 6: Conference on Architectural and Structural Applications of Glass, CGC 2018 - Proceedings",

publisher = "TU Delft Open",

editor = "Christian Louter and Freek Bos and Jan Belis and Fred Veer and Rob Nijsse",

booktitle = "Challenging Glass 6",

note = "null ; Conference date: 17-05-2018 Through 18-05-2018",

}