Fig. 4: Comparison of computational expense. | npj Computational Materials

Fig. 4: Comparison of computational expense.

From: An interleaved physics-based deep-learning framework as a new cycle jumping approach for microstructurally small fatigue crack growth simulations

Fig. 4

Projected computational costs for predicting the evolution of microstructurally small crack using the interleaved PBDL framework (with two different cumulative uncertainty thresholds, T1 and T2), in comparison to purely physics-based simulations and a deep-learning-only approach. The inset shows actual data points from a specific microstructural instantiation, which are used to extrapolate to a final crack size that would be detectable by ultrasonic testing.

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