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>UNE standards>UNE EN ISO 20501:2022 - Fine ceramics (advanced ceramics, advanced technical ceramics) - Weibull statistics for strength data (ISO 20501:2019) (Endorsed by Asociación Española de Normalización in February of 2023.)
in stockReleased: 2023-02-01
UNE EN ISO 20501:2022 - Fine ceramics (advanced ceramics, advanced technical ceramics) - Weibull statistics for strength data (ISO 20501:2019) (Endorsed by Asociación Española de Normalización in February of 2023.)

UNE EN ISO 20501:2022

Fine ceramics (advanced ceramics, advanced technical ceramics) - Weibull statistics for strength data (ISO 20501:2019) (Endorsed by Asociación Española de Normalización in February of 2023.)

Cerámicas técnicas (cerámica avanzada, cerámica técnica avanzada). Estadísticas de Weibull para datos de resistencia (ISO 20501:2019) (Ratificada por la Asociación Española de Normalización en febrero de 2023.)

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Standard number:UNE EN ISO 20501:2022
Pages:47
Released:2023-02-01
Status:Standard
DESCRIPTION

UNE EN ISO 20501:2022

This document covers the reporting of uniaxial strength data and the estimation of probability distribution parameters for advanced ceramics which fail in a brittle fashion. The failure strength of advanced ceramics is treated as a continuous random variable. Typically, a number of test specimens with well-defined geometry are brought to failure under well-defined isothermal loading conditions. The load at which each specimen fails is recorded. The resulting failure stresses are used to obtain parameter estimates associated with the underlying population distribution. This document is restricted to the assumption that the distribution underlying the failure strengths is the two-parameter Weibull distribution with size scaling. Furthermore, this document is restricted to test specimens (tensile, flexural, pressurized ring, etc.) that are primarily subjected to uniaxial stress states. Subclauses 6.4 and 6.5 outline methods of correcting for bias errors in the estimated Weibull parameters, and to calculate confidence bounds on those estimates from data sets where all failures originate from a single flaw population (i.e. a single failure mode). In samples where failures originate from multiple independent flaw populations (e.g. competing failure modes), the methods outlined in 6.4 and 6.5 for bias correction and confidence bounds are not applicable.