Vibration fatigue by spectral methods evaluates fatigue life of structures subject to broadband, random, or complex vibration loads using statistical (spectral) descriptions of the stress or response signal rather than deterministic time-history cycles. The approach transforms vibration spectra (power spectral density, PSD) into damage estimates using spectral moments, level-crossing theory, and cycle-counting approximations (e.g., rainflow equivalents). It is particularly suited for high-cycle fatigue, random excitations, and early-stage design when measured PSD or prediction from modal models is available.
Ladisk / Mechanical Systems and Signal Processing (2023).
Spectral methods solve this problem by analyzing stress responses directly in the frequency domain. This approach is highly efficient for random vibration testing, aerospace engineering, and automotive design. The Core Challenge of Random Vibration
Vibration fatigue by spectral methods evaluates fatigue life of structures subject to broadband, random, or complex vibration loads using statistical (spectral) descriptions of the stress or response signal rather than deterministic time-history cycles. The approach transforms vibration spectra (power spectral density, PSD) into damage estimates using spectral moments, level-crossing theory, and cycle-counting approximations (e.g., rainflow equivalents). It is particularly suited for high-cycle fatigue, random excitations, and early-stage design when measured PSD or prediction from modal models is available.
Ladisk / Mechanical Systems and Signal Processing (2023).
Spectral methods solve this problem by analyzing stress responses directly in the frequency domain. This approach is highly efficient for random vibration testing, aerospace engineering, and automotive design. The Core Challenge of Random Vibration
