|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Integrative Materials Design III: Performance and Sustainability
||Integrating Computational and Experimental Methods to Quantify Microstructure Sensitivity of Thin Fatigue-critical Components
||Jacob Hochhalter, Saikumar Yeratapally, Patrick Leser, Geoffrey Bomarito, Timothy Ruggles, Richard Russell, David Dawicke
|On-Site Speaker (Planned)
Whether motivated by performance or efficiency, weight-saving designs are often sought by making aerospace components thinner. In doing so, the validity of traditional design tools are brought into question as the component thickness approaches microstructural feature sizes. Such cases underpin the need for multiscale fatigue crack growth (FCG) prognoses, where uncertainty in remaining useful life is propagated across length scales. However, multiscale FCG models tend to be limited in scope and development is time consuming. Certifying the design of a thin metallic pressure vessel is presented to exemplify the above scenario. A quantification of the error in extrapolating traditional linear-elastic fracture mechanics tools is presented. A closely coupled experimental-computational approach is proposed, which reduces microstructure-sensitive FCG model development time. Predicted microstructure-sensitive fatigue life scatter data is then used as input prior distributions, within a Bayesian framework, to a microstructurally-large fatigue crack growth simulator, which captures the geometric complexities.
||Planned: Supplemental Proceedings volume