analysis of fracture toughness test data should provide dist~butional parameter estimates for the population of toughness predictions for use in integrity assessments. Standard statistical techniques are available which provide such information where the appropriate distributional form is normal but
A statistical analysis of da/dN test data
β Scribed by Chen-Tung Kao; Wen-Ting Liu
- Publisher
- Elsevier Science
- Year
- 1982
- Tongue
- English
- Weight
- 67 KB
- Volume
- 16
- Category
- Article
- ISSN
- 0013-7944
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstra&-The concept of "safe crack propagation" which relates to life prediction is discussed in this paper. It is shown that the variability of fatigue-crack propagation data results essentially from the differences of number of cycles for crack propagation from initial length n, to assigned terminal length a; for different specimens while the test using only one specimen. even for many observed values, gives very little information concerning the variability of the material or component and that of test procedure.
A statistical approach appropriate to da/d&' data has been investigated. When a group of u specimens is
π SIMILAR VOLUMES
The second invariant I, of deviator stress tensor has played an important role in the theory of plasticity, This parameter may be used in fracture mechanics by substituting the stress formulas of modes I, II and III into the following equation:
In the statistical analysis of near-infrared (NIR) data arising from the calibration of NIR instruments, two steps are often involved. The first one is data pretreatment, which usually refers to transformation of NIR spectra (e.g. the samples of predictor variables using statistical regression termi