التفاصيل البيبلوغرافية
| العنوان: |
Probability Distributions in the Glass Failure Prediction Model |
| المؤلفون: |
Samir Blanchet, H. Scott Norville, Stephen M. Morse |
| المصدر: |
Challenging Glass Conference Proceedings, Vol 6, Iss 1 (2018) |
| بيانات النشر: |
Challenging Glass Conference, 2018. |
| سنة النشر: |
2018 |
| المجموعة: |
LCC:Clay industries. Ceramics. Glass |
| مصطلحات موضوعية: |
Glass Failure Prediction Model, Surface Flaw Parameters, Weibull Distribution, Equivalent Failure Load, Clay industries. Ceramics. Glass, TP785-869 |
| الوصف: |
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. |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2589-8019 |
| Relation: |
https://proceedings.challengingglass.com/index.php/cgc/article/view/79; https://doaj.org/toc/2589-8019 |
| DOI: |
10.7480/cgc.6.2188 |
| URL الوصول: |
https://doaj.org/article/8431695102a74d5c98f8a34153336ba8 |
| رقم الانضمام: |
edsdoj.8431695102a74d5c98f8a34153336ba8 |
| قاعدة البيانات: |
Directory of Open Access Journals |