[ E[\sigma^2] = \int_0^\infty G_\sigma\sigma(f) , df ]
Spectral methods provide an efficient framework to estimate fatigue damage directly from the power spectral density (PSD) of stress, without time-domain simulations. This document outlines the core principles, commonly used frequency-domain fatigue criteria, and practical steps for implementation. A random stress signal (\sigma(t)) is characterized in frequency domain by its one-sided PSD (G_\sigma\sigma(f)) (units: (\textMPa^2/\textHz)), defined as:
(\lambda_0, \lambda_1, \lambda_2, \lambda_4) via numerical integration over frequency range. vibration fatigue by spectral methods pdf
[ E[D] = f_0 , C^-1 \left( \sqrt2\lambda_0 \right)^b \Gamma\left(1 + \fracb2\right) ]
Damage is then:
[ p_\textDK(S) = \frac\fracD_1Q e^-Z/Q + \fracD_2 ZR^2 e^-Z^2/(2R^2) + D_3 Z e^-Z^2/2\sqrt\lambda_0 ] where (Z = S / \sqrt\lambda_0), and coefficients (D_1, D_2, D_3, Q, R) are functions of (\lambda_0, \lambda_1, \lambda_2, \lambda_4, \gamma).
Document ID: VF-SM-2025-01 Version: 1.0 Target audience: Mechanical engineers, durability specialists, structural analysts 1. Introduction Vibration fatigue deals with the damage and lifetime estimation of structures subjected to dynamic, random, or harmonic excitations. Unlike traditional stress-life (S-N) or strain-life (ε-N) approaches applied to deterministic load histories, vibration fatigue often faces stochastic loads—e.g., wind, road roughness, or engine vibrations. [ E[\sigma^2] = \int_0^\infty G_\sigma\sigma(f) , df ]
[ E[D] \textWL = \rho(b,\gamma) \cdot E[D] \textNarrowband ] [ \rho(b,\gamma) = a(b) + 1 - a(b) ^c(b) ] [ a(b) = 0.926 - 0.033b, \quad c(b) = 1.587b - 2.323 ] Widely used in commercial software (e.g., nCode, FEMFAT). Empirically fits the rainflow cycle amplitude distribution as a sum of one exponential and two Rayleigh distributions: