Damage tolerance reliability analysis combining Kriging regression and support vector machine classification
Abstract
Damage tolerance analysis associates a Fracture Mechanical model with the
Failure Assessment Diagram to defi ne the state of a space engine component.
The reliability analysis treats the variability of numerical models assessing the
probability of failure within Linear Elastic Fracture Mechanics (LEFM) hypotheses. However, these models, while providing quantitative information in
the safe domain, give only qualitative information for failed components. This
work proposes an original methodology to combine Kriging regression and the
Support Vector Machine classifi cation along with transition criteria between
both approaches. To accurately describe the limit state, we de ne a spefici c
enrichment strategy. The efficiency of the proposed methodology is illustrated
on reference test cases.
Origin : Files produced by the author(s)
