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タイトル
和文: 
英文:Linearization of Flaw-Size Distribution of Ceramics 
著者
和文: 若林千智, 松尾 陽太郎, 安田 公一, 塩田 忠.  
英文: Chisato Wakabayashi, matsuo, yasuda, shiota.  
言語 English 
掲載誌/書名
和文: 
英文:Abstract Book of STAC2&STSI 
巻, 号, ページ         pp. 231
出版年月 2008年5月 
出版者
和文: 
英文: 
会議名称
和文: 
英文:STAC2&STSI 
開催地
和文: 
英文:OVTA (Chiba), Japan Joint Conferences of 
公式リンク http://stac.ceram.titech.ac.jp/index.html
 
アブストラクト Flaws contained in ceramics have a strong correlation to the fracture strength. They are characterized by several factors, such as a size, an angle, a position, and shape. When the combination of them takes the most dangerous state under a certain loading, the flaw is called as the weakest one which determines the strength of ceramic body. y. Particularly, flaw-size is the most influential factor to fracture strength. In spite of the importance, researches on the flaw-sizes distribution are not enough. First, we adopted a gamma distribution as a probability model for flaw size distribution. Taking the flaw-size as a random variable, the logarithms of the probability density function for gamma distribution is expressed by Eq.(1). …(1), . We found the first term in the right hand side is two orders of magnitude larger than the second and third ones. So the equation can be approximated as follows. …(2) Several experimental data set [1,2]are used for the estimation of the parameter of gamma distribution [1,2]. Figure.1 shows vs relation of the observed flaw-size data. Open and closed circles and open triangle in the figure are the experimental data for 3 kinds of alumina ceramics[1], and the closed square shows that of silicon nitride[2]. The solid lines in Fig.1 are the regression curves calculated from Eq.(2). It is seen that all the flaw-size data are linearized in sufficient accuracy. This result should greatly contribute to estimate fracture strength distribution of ceramics.

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