Paper
20 May 2011 Bimodal Weibull statistical analysis of CVD-ZnSe and CVD-ZnS flexural strength data
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Abstract
The results of flexural strength The results of flexural strength testing performed on brittle materials are usually interpreted in the light of a "Weibull plot," i.e., by fitting the estimated cumulative failure probability (CFP) to a linearized semiempirical Weibull distribution. This procedure ignores the impact of the testing method on the measures stressed at failure-specifically the stressed area and the stress profile-thus resulting in an inadequate characterization of the material under consideration. In a previous publication [Opt. Eng. 41, 3151 (2002)] the author reformulated Weibull's statistical theory of fracture in a manner that emphasizes how the stressed area and the stress profile control the CFP, a 1-sq.cm uniformly stressed area. Fitting the CFP of IR-transmitting materials was performed by means of nonlinear regressions but produced evidence of systematic deviations. In this paper we demonstrate that, upon extending the previously elaborated model to distributions involving two distinct types of defects (bimodal distributions), fitting the estimated CFP of CVD-ZnS or CVD-ZnSe leads to a much improved description of the fracture process. In particular, the availability of two sets of statistical parameters (characteristic strength and shape parameter) can be taken advantage of for evaluating the failure-probability density, thus providing means of assessing the nature, the critical size, and the size distribution of the surface/subsurface flaws.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Claude A. Klein "Bimodal Weibull statistical analysis of CVD-ZnSe and CVD-ZnS flexural strength data", Proc. SPIE 8016, Window and Dome Technologies and Materials XII, 80160J (20 May 2011); https://doi.org/10.1117/12.883019
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Cited by 4 scholarly publications.
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KEYWORDS
Failure analysis

Statistical analysis

Data modeling

Zinc

Solids

Surface finishing

Error control coding

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