2023
DOI: 10.1016/j.ijfatigue.2023.107560
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Experimental investigation of crack opening loads in an aircraft load spectrum

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Cited by 4 publications
(4 citation statements)
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“…The latter is known to be error-prone for pin loaded specimens, such as the CT specimens used in the present study. The details of the compliance-based methods are not presented here since these are standardised in ASTM E647 [30] and reviewed extensively in past studies [31][32][33][34][35][36].…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…The latter is known to be error-prone for pin loaded specimens, such as the CT specimens used in the present study. The details of the compliance-based methods are not presented here since these are standardised in ASTM E647 [30] and reviewed extensively in past studies [31][32][33][34][35][36].…”
Section: Methodsmentioning
confidence: 99%
“…Various noise filtering techniques have been proposed in the past, such as moving average filter, lowpass filter, etc. Guided by previous in-depth studies on crack closure measurement [33][34][35][36], we applied a third order lowpass Butterworth filter to the raw load and strain signals. A sufficiently high cut-off frequency equal to 10 times the loading frequency was selected to filter out high-frequency electrical noise without altering the nonlinear response generated by crack closure.…”
Section: Methodsmentioning
confidence: 99%
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“…Li et al [10] studied the wear mechanism of bolted joints, including fatigue wear, oxidation wear and abrasive wear, and their fracture morphology showed the characteristics of fatigue cracks and depressions. Wallbrink C et al [11] showed through experimental research that crack opening load levels can change significantly from cycle-to-cycle, and these levels are typically larger than for constant amplitude loading at the same R-ratio. Therefore, in the current fatigue analysis framework, both in modeling and experimental data processing, crack initiation and crack propagation are treated as two batch-independent processes.…”
Section: Fatigue Damage Model For Fastenersmentioning
confidence: 99%