Geometry factors for Mode I stress intensity factor of a cylindrical specimen with spiral crack subjected to torsion

Fahem, Ali Fahad; Kidane, Addis; Sutton, Michael A.

doi:10.1016/j.engfracmech.2019.04.007

Cited by 11 publications

(3 citation statements)

References 32 publications

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“…There are many programs for analysing fracture mechanics that can be adopted to predict the occurrence of failure and calculate the rate of crack growth, such as ANSYS and ABAQUS [28][29][30]. These programs use different techniques and methods for computing.…”

Section: Numerical Simulationmentioning

confidence: 99%

Develop A new mathematical approach to predict the crack propagation rate in a thin plate subjected to in-plane biaxial loading

Mosleh,

Alshamma

2023

QJES

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The mechanical design of metals must deal with structures collapsing due to cracks occur in the material. This study focused on the edge crack at non-proportional cycle loading because it propagates quickly. This research attempted to determine two mathematical models that could predict the crack propagation rate for thin samples of aluminum alloy types 6061 and 5052 under constant tensile stresses and cyclic shear stress applied within the elastic limits of the material using “Griffith energy of dynamic fracture”. This was performed to evaluate if these models can predict crack growth rates and compare with the numerical results of a computer system in the ANSYS program R1 2021. The direction of the crack path was calculated and compared with the analytical program. The results of the two mathematical models in predicting the dynamic growth rate in the studied alloys gave low error rates to the numerical solution.

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Section: Numerical Simulationmentioning

confidence: 99%

Develop A new mathematical approach to predict the crack propagation rate in a thin plate subjected to in-plane biaxial loading

Mosleh,

Alshamma

2023

QJES

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“…The fracture load is used as input to the numerical model for calculation of the J-integral and the stress intensity factors for Mode-I, Mode-III and Mixed-Mode (I/III) loading conditions. The theoretical solution of the spirally notched specimen using a 3D interacting integral method is available in previous work [21,22]. As shown in Fig.…”

Section: Numerical Computation Of Sifs and J-integralmentioning

confidence: 99%

Determination of Mixed-Mode (I/III) Fracture of Polycarbonate

Fahem

Gupta

Kidane

et al. 2021

Fracture, Fatigue, Failure and Damage Evolution , Volume 3

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In many engineering applications, Mode-III type loading in the crack tip region is more common. Since loading in structures oftentimes is quite complex, the crack tip region generally experiences Mixed-Mode conditions. In this work, torsional loading experiments are performed by employing a modified spirally cracked cylindrical specimen. The cylindrical specimen used in all experiments is machined to incorporate a full revolution, spiral v-notch crack. The v-notch crack is inclined at an angle of 67.5 • with respect to the specimen centerline to obtain Mixed-Mode (I/III) crack tip conditions under torsional loading. By combining the experimental measurements with detailed numerical simulations, the Mixed-Mode (I/III) fracture parameters for polycarbonate (PC) are quantified using an interaction integral method. The elastic-viscoplastic material response of the PC material, required for numerical simulations, is determined by performing standard tensile loading experiments. The Mixed-Mode (I/III) fracture toughness, as well as the stress intensity factors for Mode-I and Mode-III crack tip conditions are presented and discussed.

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“…Fatigue crack growth (FCG) prediction is essential for the damage-tolerant design of engineering components [4,5]. Stress intensity factor (SIF) is the main characteristic of crack growth [6,7]. Based on the linear elastic fracture method (LEFM), the earliest model was proposed by Paris and Erdogan [8] and had a profound impact on the field.…”

Section: Introductionmentioning

confidence: 99%

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

Zhou

Yang

Xiao

et al. 2023

Chin. J. Mech. Eng.

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Machine learning (ML) has powerful nonlinear processing and multivariate learning capabilities, so it has been widely utilised in the fatigue field. However, most ML methods are inexplicable black-box models that are difficult to apply in engineering practice. Symbolic regression (SR) is an interpretable machine learning method for determining the optimal fitting equation for datasets. In this study, domain knowledge-guided SR was used to determine a new fatigue crack growth (FCG) rate model. Three terms of the variable subtree of ΔK, R-ratio, and ΔKth were obtained by analysing eight traditional semi-empirical FCG rate models. Based on the FCG rate test data from other literature, the SR model was constructed using Al-7055-T7511. It was subsequently extended to other alloys (Ti-10V-2Fe-3Al, Ti-6Al-4V, Cr-Mo-V, LC9cs, Al-6013-T651, and Al-2324-T3) using multiple linear regression. Compared with the three semi-empirical FCG rate models, the SR model yielded higher prediction accuracy. This result demonstrates the potential of domain knowledge-guided SR for building the FCG rate model.

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Geometry factors for Mode I stress intensity factor of a cylindrical specimen with spiral crack subjected to torsion

Cited by 11 publications

References 32 publications

Develop A new mathematical approach to predict the crack propagation rate in a thin plate subjected to in-plane biaxial loading

Develop A new mathematical approach to predict the crack propagation rate in a thin plate subjected to in-plane biaxial loading

Determination of Mixed-Mode (I/III) Fracture of Polycarbonate

Crack Growth Rate Model Derived from Domain Knowledge-Guided Symbolic Regression

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