Potrebujeme váš súhlas na využitie jednotlivých dát, aby sa vám okrem iného mohli ukazovať informácie týkajúce sa vašich záujmov. Súhlas udelíte kliknutím na tlačidlo „OK“.
Standard Practice for Reporting Uniaxial Strength Data and Estimating Weibull Distribution Parameters for Advanced Graphites
NORMA vydaná dňa 1.12.2021
Označenie normy: ASTM D7846-21
Dátum vydania normy: 1.12.2021
Kód tovaru: NS-1049014
Počet strán: 9
Približná hmotnosť: 27 g (0.06 libier)
Krajina: Americká technická norma
Kategória: Technické normy ASTM
confidence bounds, graphite, maximum likelihood, strength, unbiasing factors, Weibull characteristic strength, Weibull modulus, Weibull scale, Weibull statistics,, ICS Number Code 71.060.10 (Chemical elements),73.040 (Coals)
|Significance and Use|
5.1Two- and three-parameter formulations exist for the Weibull distribution. This practice is restricted to the two-parameter formulation. An objective of this practice is to obtain point estimates of the unknown Weibull distribution parameters by using well-defined functions that incorporate the failure data. These functions are referred to as estimators. It is desirable that an estimator be consistent and efficient. In addition, the estimator should produce unique, unbiased estimates of the distribution parameters 5.2Tensile and flexural specimens are the most commonly used test configurations for graphite. The observed strength values depend on specimen size and test geometry. Tensile and flexural test specimen failure data for a nearly isotropic graphite FIG. 1Failure Strengths for Tensile Test Specimens (left) and Flexural Test Specimens (right) for a Nearly Isotropic Graphite 5.3The bias and uncertainty of Weibull parameters depend on the total number of test specimens. Variability in parameter estimates decreases exponentially as more specimens are collected. However, a point of diminishing returns is reached where the cost of performing additional strength tests may not be justified. This suggests a limit to the number of test specimens for determining Weibull parameters to obtain a desired level of confidence associated with a parameter estimate. The number of specimens needed depends on the precision required in the resulting parameter estimate or in the resulting confidence bounds. Details relating to the computation of confidence bounds (directly related to the precision of the estimate) are presented in and .]]>
1.1This practice covers the reporting of uniaxial strength data for graphite and the estimation of probability distribution parameters for both censored and uncensored data. The failure strength of graphite materials is treated as a continuous random variable. Typically, a number of test specimens are failed in accordance with the following standards: Test Methods , , , , Practice or Guide . 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 practice is limited to failure strengths that can be characterized by the two-parameter Weibull distribution. Furthermore, this practice is restricted to test specimens (primarily tensile and flexural) that are primarily subjected to uniaxial stress states.
1.2Measurements of the strength at failure are taken for various reasons: a comparison of the relative quality of two materials, the prediction of the probability of failure for a structure of interest, or to establish limit loads in an application. This practice provides a procedure for estimating the distribution parameters that are needed for estimating load limits for a particular level of probability of failure.
1.3This international standard was developed in accordance with internationally recognized principles on standardization established in the Decision on Principles for the Development of International Standards, Guides and Recommendations issued by the World Trade Organization Technical Barriers to Trade (TBT) Committee.
|2. Referenced Documents|
Posledná aktualizácia: 2022-06-30 (Počet položiek: 2 574 073)
© Copyright 2022 NORMSERVIS s.r.o.