5.1 Advanced ceramics usually display a linear stress-strain behavior to failure. Lack of ductility combined with flaws that have various sizes and orientations leads to scatter in failure strength. Strength is not a deterministic property but instead reflects an intrinsic fracture toughness and a distribution (size and orientation) of flaws present in the material. This practice is applicable to brittle monolithic ceramics that fail as a result of catastrophic propagation of flaws present in the material. This practice is also applicable to composite ceramics that do not exhibit any appreciable bilinear or nonlinear deformation behavior. In addition, the composite must contain a sufficient quantity of uniformly distributed reinforcements such that the material is effectively homogeneous. Whisker-toughened ceramic composites may be representative of this type of material.
5.2 Two- and three-parameter formulations exist for the Weibull distribution. This practice is restricted to the two-parameter formulation. An objective of this practice is to obtain point estimates of the unknown parameters by using well-defined functions that incorporate the failure data. These functions are referred to as estimators. It is desirable that an estimator be consistent and efficient. In addition, the estimator should produce unique, unbiased estimates of the distribution parameters (6). Different types of estimators exist, including moment estimators, least-squares estimators, and maximum likelihood estimators. This practice details the use of maximum likelihood estimators due to the efficiency and the ease of application when censored failure populations are encountered.
5.3 Tensile and flexural test specimens are the most commonly used test configurations for advanced ceramics. The observed strength values are dependent on test specimen size and geometry. Parameter estimates can be computed for a given test specimen geometry ( m^, σ^θ), but it is suggested that the parameter estimates be transformed and reported as material-specific parameters ( m^, σ^0). In addition, different flaw distributions (for example, failures due to inclusions or machining damage) may be observed, and each will have its own strength distribution parameters. The procedure for transforming parameter estimates for typical test specimen geometries and flaw distributions is outlined in 8.6.
5.4 Many factors affect the estimates of the distribution parameters. The total number of test specimens plays a significant role. Initially, the uncertainty associated with parameter estimates decreases significantly as the number of test specimens increases. However, a point of diminishing returns is reached when the cost of performing additional strength tests may not be justified. This suggests that a practical number of strength tests should be performed to obtain a desired l......<......
由于剪切強度受有效應力的影響,通過在不同約束壓力下測試一組三個試樣,可以根據庫侖模型定義失效包絡,定義參數c''和φ'',并評估不排水的剪切強度。固結排水(CD)用這種方法,以有效應力來測量剪切強度。試樣飽和,允許在所需的圍壓下固結。一旦固結,試樣就被施加了一定的荷載,在此期間允許水分排出,而不會產生孔隙壓力。...
如今,現代計算機顯微鏡以及圖像分析系統,為國際或行業標準所涵蓋的大多數評估和評估方法的自動化提供了快速、準確的手段。 測量通常是在一系列二維圖像上進行的,可分為兩大類:用于量化離散顆粒的大小、形狀和分布的測量(特征測量)和與基體微觀結構相關的測量(現場測量)。 第一組中的幾個例子,鋼的夾雜物含量的測定,鑄鐵中石墨分類,以及熱噴涂涂層或燒結零件中孔隙率的評估。 ...
Copyright ?2007-2022 ANTPEDIA, All Rights Reserved
京ICP備07018254號 京公網安備1101085018 電信與信息服務業務經營許可證:京ICP證110310號