S14: Symposium on Probabilistic Aspects of Fatigue Crack Growth and Fracture: Frameworks, Tools, and Applications


Practical engineering decisions associated with fatigue crack growth and fracture include uncertainty and variability in initial conditions, geometry, material response, and loading conditions. As a result, traditional deterministic design and analysis methodologies may lead to outcomes that are non-conservative or excessively over-conservative. In response to these challenges, various industries including (but not limited to) aerospace, nuclear, and advanced manufacturing are increasingly adopting probabilistic approaches to address fatigue crack growth and fracture. These methods encompass techniques in uncertainty quantification, stochastic modeling, sensitivity analysis, and reliability as applied to fatigue and fracture.

Contributions in the following areas are encouraged:

  • Frameworks, tools, and applications of probabilistic approaches for fatigue crack growth and fracture
  • Methods used by universities, government, and industry to quantify fracture risk
  • Computational tools developed to implement various probabilistic frameworks
  • The challenges of integrating these frameworks with advanced techniques in fracture and fatigue
  • Real-world examples of probabilistic approaches for various engineering scenarios


R. Craig McClung (Southwest Research Institute, San Antonio, Texas USA)
James C. Sobotka (Southwest Research Institute, San Antonio, Texas USA)
Kai Kadau (Siemens Energy, Charlotte, North Carolina, USA)


R. Craig McClung (email: craig.mcclung@swri.org)