Experimental Data-Driven approach for the evaluation of crack tip opening loads under variable amplitude loading

Kotousov, Andrei; Hughes, James; Khanna, Aditya; Moreno, Belen; Wallbrink, Chris

doi:10.1016/j.ijfatigue.2023.108108

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…Contrary to this, the specimen orientation was found to have almost no influence on fracture toughness, with both specimens failing when the fatigue crack reached a length of approximately 40 mm. This final length corresponds to a fracture toughness of 130 MPa m 1/2 , which correlates with the estimates of K obtained for SDSS fabricated with conventional manufacturing methods (cast, rolled plate and welded) [10,[36][37][38][39]. One important implication of the observed fatigue life anisotropy is in the enhancement of fatigue life at the design and fabrication stages.…”

Section: Fatigue Crack Growth Curvessupporting

confidence: 79%

“…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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Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM

Sales,

Khanna,

Hughes

et al. 2024

Materials

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Additive manufacturing offers greater flexibility in the design and fabrication of structural components with complex shapes. However, the use of additively manufactured parts for load-bearing structural applications, specifically involving cyclic loading, requires a thorough investigation of material fatigue properties. These properties can be affected by many factors, including residual stresses and crack tip shielding mechanisms, which can be very different from those of conventionally manufactured materials. This research focuses on super duplex stainless steels (SDSSs) fabricated with wire arc additive manufacturing (WAAM) and investigates their fatigue crack growth rates and the net effect of crack tip shielding mechanisms. Using the compliance-based method, we measured crack tip opening loads in compact tension (CT) specimens with cracks propagating longitudinally and transversely to the WAAM deposition direction. It was found that fatigue crack growth rates were very similar in both directions when correlated by the effective stress intensity factor range. However, the differences in crack tip opening loads explain a quite significant influence of the deposition direction on the fatigue life.

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Section: Fatigue Crack Growth Curvessupporting

confidence: 79%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM

Sales,

Khanna,

Hughes

et al. 2024

Materials

Self Cite

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Data-driven fatigue crack propagation and life prediction of tubular T-joint: A fracture mechanics based machine learning surrogate model

Zhang,

Su,

Jiang

et al. 2024

Engineering Fracture Mechanics

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A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation

Gao,

Hu,

Han

et al. 2024

Fatigue Fract Eng Mat Struct

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This paper presents a novel crack size estimation method based on dilated convolution and time series fine tuning using in‐situ Lamb wave. The contributions of this proposed method are twofold: (1) a dilated convolution‐based neural network which is an effective representation learning methods with larger receptive fields for periodic signals and (2) a crack length adjustment approach based on previous estimations with a time series fine tuning method. The time series fine tuning method utilizes the monotonicity of the crack length with respect to time. A new evaluation metric has been adopted, which considers prediction errors, time errors, and monotonicity errors. The proposed method outperforms the previous feature extraction‐based methods with or without time series fine tuning in this new evaluation metric.

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Experimental Data-Driven approach for the evaluation of crack tip opening loads under variable amplitude loading

Cited by 3 publications

References 31 publications

Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM

Fatigue Crack Growth Rates and Crack Tip Opening Loads in CT Specimens Made of SDSS and Manufactured Using WAAM

Data-driven fatigue crack propagation and life prediction of tubular T-joint: A fracture mechanics based machine learning surrogate model

A dilated convolution‐based method with time series fine tuning for data‐driven crack length estimation

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