Chapter EightRandom Multiaxial Fatigue Loading

A new spectral method of fatigue-life calculation under random multiaxial loading has been shown. The method consists in extension of the known formulae of Miles, Kowalewski, Rajcher, Bolotin and Wirsching and Light, based on the power-spectral density function (PSDF) of stresses under uniaxial random loading. PSDF of the equivalent stress, determined according to linear failure criteria of multiaxial random fatigue, was introduced to the method. It has been shown that while reducing the multiaxial state of stress to the uniaxial one with linear failure criteria, the frequency bands of stress-state components are transformed to the frequency band of equivalent stress without increase of its width. Such a favorable result cannot be obtained if the equivalent stress is calculated according to the nonlinear multiaxial-fatigue-failure criteria. The chapter contains an approach for estimation of fatigue life in the HCF regime. Loading of Gaussian distribution and narrow- and broadband frequency spectra were assumed. Various characteristic states of multiaxial loading were considered. The reduced stress history was determined with use of failure criteria of multiaxial fatigue based on the critical plane. For determination of the criticalplane position, the methods of variance and damage accumulation were applied. During simulation, the authors compared the results obtained by the spectral method in the frequency domain with those from the rain-flow algorithm in the time domain. The chapter also contains the results of fatigue tests for 18G2A structural steel subjected to combined bending with torsion. The tests were performed in order to verify the proposed algorithms for determination of fatigue life. It has been shown that under multiaxial random loading results of fatigue

[1]  W. D. Dover,et al.  Fatigue analysis of offshore platforms subject to sea wave loadings , 1985 .

[2]  W. Będkowski,et al.  Fracture Plane of Cruciform Specimen in Biaxial Low Cycle Fatigue—Estimate by Variance Method and Experimental Verification , 1995 .

[3]  Andrea Carpinteri,et al.  Expected principal stress directions under multiaxial random loading. Part II: numerical simulation and experimental assessment through the weight function method , 1999 .

[4]  Paul H. Wirsching,et al.  Fatigue under Wide Band Random Stresses , 1980 .

[5]  W. Będkowski,et al.  Maximum normal stress fatigue criterion applied to random triaxial stress state , 1987 .

[6]  Andrea Carpinteri,et al.  Expected principal stress directions under multiaxial random loading. Part I: theoretical aspects of the weight function method , 1999 .

[7]  E. Macha,et al.  Fatigue fracture plane under Multiaxial Random Loadings – prediction by variance of equivalent stress based on the maximum shear and normal stresses , 1992 .

[8]  André Preumont,et al.  Spectral methods for multiaxial random fatigue analysis of metallic structures , 2000 .

[9]  E. Macha,et al.  Reduction of parameters in failure criteria for multiaxial Random Fatigue , 1990 .

[10]  Julius S. Bendat,et al.  Engineering Applications of Correlation and Spectral Analysis , 1980 .

[11]  H. Saunders,et al.  Random Vibration of Elastic Systems , 1987 .

[12]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[13]  Andrea Carpinteri,et al.  Expected position of the fatigue fracture plane by using the weighted mean principal Euler angles , 2002 .

[14]  Adam Niesłony,et al.  Fatigue life of cast irons GGG40, GGG60 and GTS45 under combined variable amplitude tension with torsion. , 2001 .

[15]  J. Grzelak,et al.  Spectral analysis of the criteria for multiaxial Random Fatigue , 1991 .

[16]  Ne Dowling,et al.  Fatigue Failure Predictions for Complicated Stress-Strain Histories , 1971 .