Real-time Crack Growth Prediction Framework for Digtial Twins
POSTER
Abstract
We present a framework for crack growth prediction in digital twins. The framework applies a max/min detector to an unknown variable amplitude loading spectrum. The detected maxima and minima feed into a cycle-by-cycle crack growth algorithm. This calculator computes the stress range, stress ratio, and applies the Walker equation to estimate crack growth for each cycle. The predicted crack growth is plotted in real time, enabling users to watch the crack length develop as more cycles are completed. The system stops when the total cycle count is reached. The framework is part of a larger system with the intention of being able to fully predict crack growth and notify users when repairs are needed before failure.
*Funded by the Consortium of Nuclear Security Technologies (CONNECT) as part of the National Nuclear Security Agency (NNSA). Award Number DE-NA0004107
Presenters
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Charlise De Spain
- St. Mary's University