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Research Article | Open Access

Determination of the Weibull parameters from the mean value and the coefficient of variation of the measured strength for brittle ceramics

Bin DENGaDanyu JIANGb( )
Department of the Prosthodontics, Chinese PLA General Hospital, Beijing 100853, China
Analysis and Testing Center for Inorganic Materials, State Key Laboratory of High Performance Ceramics and Superfine Microstructure, Shanghai Institute of Ceramics, Shanghai 200050, China
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Abstract

Accurate estimation of Weibull parameters is an important issue for the characterization of the strength variability of brittle ceramics with Weibull statistics. In this paper, a simple method was established for the determination of the Weibull parameters, Weibull modulus m and scale parameter σ0, based on Monte Carlo simulation. It was shown that an unbiased estimation for Weibull modulus can be yielded directly from the coefficient of variation of the considered strength sample. Furthermore, using the yielded Weibull estimator and the mean value of the strength in the considered sample, the scale parameter σ0 can also be estimated accurately.

References

[1]
W Weibull. A statistical distribution function of wide applicability. J Appl Mech 1951, 18: 293-297.
[2]
G Quinn. Advanced structural ceramics: A round robin. J Am Ceram Soc 1990, 73: 2374-2384.
[3]
R Danzer, P Supancic, J Pascual, et al. Fracture statistics of ceramics—Weibull statistics and deviations from Weibull statistics. Eng Fract Mech 2007, 74: 2919-2932.
[4]
JB Quinn, GD Quinn. A practical and systematic review of Weibull statistics for reporting strengths of dental materials. Dent Mater 2010, 26: 135-147.
[5]
S Nohut. Influence of sample size on strength distribution of advanced ceramics. Ceram Int 2014, 40: 4285-4295.
[6]
M Ambrožič, L Gorjan, M Gomilšek. Bend strength variation of ceramics in serial fabrication. J Eur Ceram Soc 2014, 34: 1873-1879.
[7]
ME Saleh, JL Beuth, MP Boer. Validated prediction of the strength size effect in polycrystalline silicon using the three-parameter Weibull function. J Am Ceram Soc 2014, 97: 3982-3990.
[8]
G Magnani, S Galvagno, G Sico, et al. Sintering and mechanical properties of β-SiC powder obtained from waste tires. J Adv Ceram 2016, 5: 40-46.
[9]
K Trustrum, ADS Jayatilaka. On estimating the Weibull modulus for a brittle material. J Mater Sci 1979, 14: 1080-1084.
[10]
JE Ritter, N Bandyopadhyay, K Jakus. Statistical reproducibility of the dynamic and static fatigue experiments. Am Ceram Soc Bull 1981, 60: 798-806.
[11]
B Bergman. On the estimation of the Weibull modulus. J Mater Sci Lett 1984, 3: 689-692.
[12]
A Khalili, K Kromp. Statistical properties of Weibull estimators. J Mater Sci 1991, 26: 6741-6752.
[13]
R Langlois. Estimation of Weibull parameters. J Mater Sci Lett 1991, 10: 1049-1051.
[14]
D Wu, J Zhou, Y Li. Methods for estimating Weibull parameters for brittle materials. J Mater Sci 2006, 41: 5630-5638.
[15]
M Tiryakioglu. On estimating Weibull modulus by moments and maximum likelihood methods. J Mater Sci 2008, 43: 793-798.
[16]
R Bermejo, P Supancic, R Danzer. Influence of measurement uncertainties on the determination of the Weibull distribution. J Eur Ceram Soc 2012, 32: 251-255.
[17]
L Bütikofer, B Stawarczyk, M Roos. Two regression methods for estimation of a two-parameter Weibull distribution for reliability of dental materials. Dent Mater 2015, 31: e33-e50.
[18]
IJ Davies. Unbiased estimation of Weibull modulus using linear least squares analysis—A systematic approach. J Eur Ceram Soc 2017, 37: 369-380.
[19]
I Olkin, LJ Gleser, C Derman. Probability, Models and Applications. New York: Macmillan Publishing Co., Inc., 1980.
[20]
J Gong. A simple method for determining the Weibull estimator. J Mater Sci Lett 1997, 16: 875-876.
[21]
J Gong, Y Li. Relationship between the estimated Weibull modulus and the coefficient of variation of the measured fracture strength for ceramics. J Am Ceram Soc 1999, 82: 449-452.
[22]
J Gong. A new probability index for estimating Weibull modulus for ceramics with the least-square method. J Mater Sci Lett 2000, 19: 827-829.
[23]
L Song, D Wu, Y Li. Optimal probability estimators for determining Weibull parameters. J Mater Sci Lett 2003, 22: 1651-1653.
[24]
S Nadarajah, S Kotz. Comment on the probability indices. J Mater Sci 2006, 41: 6479-6480.
[25]
Y Katayama, Y Hattori. Effects of specimen size on strength of sintered silicon nitride. J Am Ceram Soc 1982, 65: c164-c165.
[26]
Y Xu, L Cheng, L Zhang, et al. Optimization of sample number for for Weibull functions of brittle materials strength. Ceram Int 2001, 27: 239-241.
Journal of Advanced Ceramics
Pages 149-156
Cite this article:
DENG B, JIANG D. Determination of the Weibull parameters from the mean value and the coefficient of variation of the measured strength for brittle ceramics. Journal of Advanced Ceramics, 2017, 6(2): 149-156. https://doi.org/10.1007/s40145-017-0227-3

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Received: 11 January 2017
Accepted: 07 April 2017
Published: 16 June 2017
© The author(s) 2017

Open Access The articles published in this journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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