Overcoming metal rubber fatigue dispersion: A feature-enhanced temporal convolutional networks approach
The Journal of Strain Analysis for Engineering Design
Published online on January 17, 2026
Abstract
The Journal of Strain Analysis for Engineering Design, Volume 61, Issue 3, Page 191-210, April 2026.
The high variability in fatigue life of metal rubber (MR) components presents a substantial challenge for conventional prediction models, which often fail to account for individual specimen differences, resulting in diminished predictive accuracy. To ...
The high variability in fatigue life of metal rubber (MR) components presents a substantial challenge for conventional prediction models, which often fail to account for individual specimen differences, resulting in diminished predictive accuracy. To ...