ASTM C 1683 : 2010
Superseded
A superseded Standard is one, which is fully replaced by another Standard, which is a new edition of the same Standard.
Standard Practice for Size Scaling of Tensile Strengths Using Weibull Statistics for Advanced Ceramics
Hardcopy , PDF
11-11-2014
English
01-12-2010
CONTAINED IN VOL. 15.01, 2017 Gives methodology to convert fracture strength parameters estimated from data obtained with one test geometry to strength parameters representing other test geometries.
Committee |
C 28
|
DocumentType |
Standard Practice
|
Pages |
18
|
ProductNote |
Reconfirmed 2010
|
PublisherName |
American Society for Testing and Materials
|
Status |
Superseded
|
Supersedes |
1.1 This standard practice provides methodology to convert fracture strength parameters (primarily the mean strength and the Weibull characteristic strength) estimated from data obtained with one test geometry to strength parameters representing other test geometries. This practice addresses uniaxial strength data as well as some biaxial strength data. It may also be used for more complex geometries proved that the effective areas and effective volumes can be estimated. It is for the evaluation of Weibull probability distribution parameters for advanced ceramics that fail in a brittle fashion. Fig. 1 shows the typical variation of strength with size. The larger the specimen or component, the weaker it is likely to be.
1.2 As noted in Practice C1239, the failure strength of advanced ceramics is treated as a continuous random variable. A number of functions may be used to characterize the strength distribution of brittle ceramics, but the Weibull distribution is the most appropriate especially since it permits strength scaling for the size of specimens or component. Typically, a number of test specimens with well-defined geometry are broken under well-defined loading conditions. The force at which each test specimen fails is recorded and fracture strength calculated. The strength values are used to obtain Weibull parameter estimates associated with the underlying population distribution.
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