A Novel Random Vibration Accelerated Life Test Model under Non-stationary Non-Gaussian Excitation

In the field of engineering, accurate reliability assessment and optimization are of paramount importance for ensuring the safety and longevity of structures and components.Traditional Gaussian-based accelerated life test (ALT) models have been widely used but often face limitations in dealing with complex vibration scenarios.To overcome these challenges, this study proposes a novel accelerated life test (ALT) model for random vibrations under non-stationary non-Gaussian excitation.Building upon Gaussian random vibration ALT models and incorporating the previously developed kurtosis transmission model for non-stationary non-Gaussian processes, an acceleration factor for structural fatigue life is derived.The proposed model significantly enhances the acceleration of structural fatigue failure and accurately predicts structural fatigue life.By effectively leveraging the high kurtosis characteristics of non-stationary non-Gaussian excitation, this model addresses the limitations of traditional Gaussian-based methods, offering a novel framework for reliability evaluation and optimization in engineering applications.