A General Theory of Fatigue Damage Accumulation

1969 ◽  
Vol 91 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Arthur Sorensen

The aim of this presentation is to develop a general linear theory of isotropic cumulative failure. This involves a phenomenological consideration of fatigue damage accumulation under very general conditions. In order to accomplish this, it is necessary to extend the basic notion of cycle-dependent behavior for a harmonic stress variation to more complicated situations. The mean and alternating components of a conventional waveform are given a suitable interpretation to account for irregular stress-time variations. The state of stress also receives proper consideration to allow for independent variation of each tensor element. The entire program is motivated by a desire to achieve complete generality, and the systematic development of the analytical model is predicated upon the experimental observations and theoretical proposals of previous investigators. This provides a firm logical-empirical basis to support the proposals made in this investigation.

2004 ◽  
Vol 46 (6) ◽  
pp. 309-313
Author(s):  
Yutaka Iino ◽  
Hideo Yano

2013 ◽  
Vol 81 (4) ◽  
Author(s):  
Son Hai Nguyen ◽  
Mike Falco ◽  
Ming Liu ◽  
David Chelidze

Estimating and tracking crack growth dynamics is essential for fatigue failure prediction. A new experimental system—coupling structural and crack growth dynamics—was used to show fatigue damage accumulation is different under chaotic (i.e., deterministic) and stochastic (i.e., random) loading, even when both excitations possess the same spectral and statistical signatures. Furthermore, the conventional rain-flow counting method considerably overestimates damage in case of chaotic forcing. Important nonlinear loading characteristics, which can explain the observed discrepancies, are identified and suggested to be included as loading parameters in new macroscopic fatigue models.


1984 ◽  
Vol 110 (11) ◽  
pp. 2585-2601 ◽  
Author(s):  
Loren D. Lutes ◽  
Miguel Corazao ◽  
Sau‐lon James Hu ◽  
James Zimmerman

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