Strain generation for fatigue-durability predictions considering load sequence effect of random vibration loading

This study proposes acceleration-strain conversion model for coil spring in fatigue-durability prediction by considering the load sequence effect. Established models were inaccurate in fatigue life prediction when the load sequence effect was considered. Therefore, signal processing technique was applied to retain the load sequences in the simulated strain signals. The simulated strain signals obtained similar fatigue lives with the experimental results, considering the load sequence effect. Using the proposed method, the root-mean-square-error was reduced from 1.39 to 0.51. This contributes to a more realistic strain generation for coil spring and accurate fatigue-durability prediction by considering the load sequence effect.

Automated summary

This study proposes an acceleration-strain conversion model for coil spring in fatigue-durability prediction by considering the load sequence effect. The simulation results show similar fatigue lives with the experimental results, and the root-mean-square-error is significantly reduced from 1.39 to 0.51.