ISO 20501:2019 pdf free.Fine ceramics (advanced ceramics,advanced technical ceramics) -Weibull statistics for strength data.
censored data strength measurements (i.e. a sample) containing suspended observations such as that produced by multiple competing or concurrent flaw populations
Note 1 to entry: Consider a sample where fractography clearly established the existence of three concurrent flaw distributions (although this discussion is applicable to a sample with any number of concurrent flaw distributions). The three concurrent flaw distributions are referred to here as distributions A, B, and C. Based on fractographic analyses, each specimen strength is assigned to a flaw distribution that Initiated failure. In estimating parameters that characterize the strength distribution associated with flaw distribution A, all specimens (and not just those that failed from type-A flaws) shall be incorporated in the analysis to ensure efficiency and accuracy of the resulting parameter estimates. The strength of a specimen that failed by a type-B (or type-C) flaw is treated as a right censored observation relative to the A flaw distribution. Failure due to a type-B (or type-C) flaw restricts, or censors, the information concerning type-A flaws in a specimen by suspending the test before failure occurs by a type-A IlawiZi. The strength from the most severe type-A flaw in those specimens that failed from type-B (or type-C) flaws is higher than (and thus to the right of) the observed strength. however, no information is provided regarding the magnitude of that difference. Censored data analysis techniques incorporated in this document utilize this incomplete information to provide efficient and relatively unbiased estimates of the distribution parameters.
competing failure modes distinguishably different types of’ fracture initiation events that result from concurrent (competing) flaw distributions compound flaw distribution any form of multiple flaw distribution that is neither pure concurrent, nor pure exclusive Note 1 to entry: A simple example is where every specimen contains the flaw distribution A, while some fraction of the specimens also contains a second independent flaw distribution B. concurrent flaw distribution competing flaw distribution type of multiple flaw distribution in a homogeneous material where every specimen of that material contains representative flaws from each independent flaw population Note 1 to entry: Within a given specimen, all flaw populations are then present concurrently and are competing to each other to cause failure. exclusive flaw distribution mixture flaw distribution type of multiple flaw distribution created by mixing and randomizing specimens from two or more versions of a material where each version contains a different single flaw population Note I to entry: Thus, each specimen contains flaws exclusively from a single distribution, but the total data set reflects more than one type of strength-controlling flaw. extraneous flaw strength-controlling flaw observed in some fraction of test specimens that cannot be present in the component being designed Note 1 to entry: An example is machining flaws in ground bend specimens that will not be present in as-sintered
components of the same material. effective gauge section that portion of the test specimen geometry included within the limits of integration (volume, area or edge length) of the Weibull distribution function Note 1 to entry: In tensile specimens, the integration may be restricted to the uniformly stressed central gauge section, or it may be extended to include transition and shank regions.fractography analysis and characterization of patterns generated on the fracture surface of a test specimen Note 1 to entry: Fractography can be used to determine the nature and location of the critical fracture origin causing catastrophic failure in an advanced ceramic test specimen or component.ISO 20501 pdf download.