一种评估脆性材料机械生存能力的新统计方法

IF 0.4 Q4 MATERIALS SCIENCE, CHARACTERIZATION & TESTING
S. Freiman, J. Fong
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引用次数: 0

摘要

陶瓷等脆性材料会毫无征兆地断裂。由于无损检测技术在确定陶瓷材料潜在断裂源方面不可靠,因此必须依赖实验室强度数据的统计分析。该数据用于确定一组试样的最小强度及其不确定性,然后必须将该实验室数据转化为由该材料制造的部件可靠性的预测。本文为选择适合实验室数据的统计方法提出了新的指导方针,并提出了一种程序——称为公差极限和覆盖率——来推断这些数据以预测部件可靠性。硼硅酸盐玻璃的数据用于证明该程序的有用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new statistical methodology for assessing mechanical survivability of brittle materials
Brittle materials such as ceramics are subject to fracture without warning. Because non-destructive techniques are unreliable for determining potential fracture sources in ceramic materials one must rely on statistical analysis of laboratory strength data. This data is used to determine the minimum strength, and its uncertainty, of a set of specimens, and then must translate this laboratory data into a projection of the reliability of components manufactured from the material. This paper sets forth new guidelines for the choice of a statistical methodology to fit the laboratory data and puts forth a procedure – known as tolerance limits and coverage – to extrapolate this data to predict component reliability. Data on a borosilicate glass is used to demonstrate the usefulness of this procedure.
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来源期刊
Strength Fracture and Complexity
Strength Fracture and Complexity MATERIALS SCIENCE, CHARACTERIZATION & TESTING-
CiteScore
1.30
自引率
0.00%
发文量
15
期刊介绍: Strength, Fracture and Complexity: An International Journal is devoted to solve the strength and fracture unifiedly in non linear and systematised manner as complexity system. An attempt is welcome to challenge to get the clue to a new paradigm or to studies by fusing nano, meso microstructural, continuum and large scaling approach. The concept, theoretical and/or experimental, respectively are/is welcome. On the other hand the presentation of the knowledge-based data for the aims is welcome, being useful for the knowledge-based accumulation. Also, deformation and fracture in geophysics and geotechnology may be another one of interesting subjects, for instance, in relation to earthquake science and engineering.
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