Abstract
One of the largest and best characterized fracture toughness data sets is the so called Euro data set developed in aEuropean co-operation project some time ago. Probably the most objective analysis of the data set was made using adistribution comparison method. Recently, an improvement of the method has been achieved by combining the Rankprobability estimates with Binomial probability estimates. The combination of Rank and Binomial probabilityestimates double the number of independent individual point estimates, making the overall estimate more accuratewith respect to the true value. The strength in this statistical analysis method lies in the objectiveness of the result.This new statistical assessment method is here applied to analyze the Euro fracture toughness data set once more. Theresults form a new basis for micro-mechanistic modeling of cleavage fracture.
| Original language | English |
|---|---|
| Pages (from-to) | 833-838 |
| Journal | Procedia Engineering |
| Volume | 10 |
| DOIs | |
| Publication status | Published - 2011 |
| MoE publication type | A1 Journal article-refereed |
| Event | 11th International Conference on the Mechanical Behavior of Materials, ICM11 - Como, Italy Duration: 5 Jun 2011 → 9 Jun 2011 |
Keywords
- Binomial probability
- cleavage fracture
- Euro data set
- master curve
- rank probability
- statistical analysis