2003
DOI: 10.1016/s0142-1123(02)00068-3
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Experimental investigations of fatigue cracks nucleation, growth and coalescence in structural steel

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Cited by 46 publications
(38 citation statements)
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“…This is shown in Figure 6(b) for a steel tested at different stress ranges (Socha, 2003). It is believed that the increased strain range under the same cyclic stress range is due to material softening under Cycles/10 2 Stress (MPa) (a) Cyclic test results for copper over a strain range of 0.6% [Dunne and Hayhurst, 1992] (b) Cyclic test results for steel at different stress amplitudes [Socha, 2003] Figure 6. Variation of (a) stress range for strain-controlled tests, and (b) strain range for stress-controlled tests against number of cycles in cyclic plasticity tests.…”
Section: Calibration Of Damage Evolution From Cyclic Loading Test Resmentioning
confidence: 94%
“…This is shown in Figure 6(b) for a steel tested at different stress ranges (Socha, 2003). It is believed that the increased strain range under the same cyclic stress range is due to material softening under Cycles/10 2 Stress (MPa) (a) Cyclic test results for copper over a strain range of 0.6% [Dunne and Hayhurst, 1992] (b) Cyclic test results for steel at different stress amplitudes [Socha, 2003] Figure 6. Variation of (a) stress range for strain-controlled tests, and (b) strain range for stress-controlled tests against number of cycles in cyclic plasticity tests.…”
Section: Calibration Of Damage Evolution From Cyclic Loading Test Resmentioning
confidence: 94%
“…Many attempts have been made to evaluate an appropriate fatigue damage parameter [1][2][3][4][5][6][7][8]. Kaczanow proposed as a damage indicator the density of microcracks identified at the surface in a given volume.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, a promising idea of fatigue damage indicator was proposed by Socha [1,2] on the basis of damage accumulation expression given by Azari et al [4,5]. In this case damage parameter is defined using the inelastic strain amplitude.…”
Section: Introductionmentioning
confidence: 99%
“…The results of some studies prove a classic approach to the determination of fatigue characteristics when based on HCF and LCF tests. In recent years, studies have also appeared that attempt a different approach to the determination of the fatigue life of materials/products [10,11], including those based on hardness testing [12] or applying the idea of neural networks [13,14].…”
Section: Introductionmentioning
confidence: 99%