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To implement ceramics into high reliability components, it is necessary to understand the strength scatter, which is caused by stochastic distribution of defects in ceramics. In this study, we proposed a numerical simulation method to predict the strength scatter of ceramics, including size-dependency, by combining internal microstructural data observed using X-ray computed tomography (X-Ray CT) and scanning electron microscopy (SEM) with a fracture mechanics model. In particular, the Generalized Pareto (GP) model, a type of extreme value statistics, was applied to the treatment of three-dimensional distribution of size of pores, which might be origin of fracture. We then predict the bending strength of four kinds of bending test with different effective volumes and conmapred with exprimental results. In addition, the predictive performance for the lower limit of fracture strength was also discussed. Meanwhile, the method was also applied to specimen models with different discretization sizes to verify the advantage of GP model. The results demonstrate the effectiveness of the proposed method for ‘specimen size dependence of bending strength’ and ‘specimen discretization size independence’.

権利情報:

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International
  

キーワード: Strength analysis, defects, extreme value statistics, Weibull distribution, size dependency

刊行年月日: 2023-12-10

出版者: Elsevier BV

掲載誌:

• Journal of the European Ceramic Society (ISSN: 09552219) vol. 44 issue. 5 p. 3381-3392

研究助成金:

• New Energy and Industrial Technology Development Organization

原稿種別: 著者最終稿 (Accepted manuscript)

MDR DOI: https://doi.org/10.48505/nims.5207

公開URL: https://doi.org/10.1016/j.jeurceramsoc.2023.12.021

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更新時刻: 2025-12-10 08:30:46 +0900

MDRでの公開時刻: 2025-12-10 08:23:53 +0900