Effect of a Micro-crack on the Edge Macro-crack Propagation Rate and Path Under Mixed Loads

Li, Xiaotao; Jiang, Xiaoyu

doi:10.1007/s10338-019-00099-2

Cited by 5 publications

(4 citation statements)

References 49 publications

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“…Here, the effects of one macro-crack in the plane are investigated. The macro-crack is subjected to a non-uniformly distributed stress whose magnitude and direction are determined in Equation (7). The sample procedure in Section 2.2.2 is applied.…”

Section: Solution To Sub-problem (Iii) For the Macro-crackmentioning

confidence: 99%

“…This paper focuses on fatigue prediction, which is associated with the accumulated damage of crack, and can be measure based on crack size. It is rare that fatigue damage consists of a single crack; in fact, numerous micro-cracks have been found near the tip and the path of a macro-crack using scanning electron microscopy in 7075-T6 aluminum alloy, X65 steel, and U71Mn steel [5][6][7]. Depending on their relative sizes, cracks are referred to as macro-cracks and micro-cracks.…”

Section: Introductionmentioning

confidence: 99%

“…These works ignored the conditions in which micro-cracks pre-existed. In general, a fracture in the real world is mostly caused by the propagation of a single macro-crack and is affected by pre-existing micro-cracks [7,[27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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Digital Twins to Predict Crack Propagation of Sustainable Engineering Materials under Different Loads

Li,

2024

Machines

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Computer-aided engineering (CAE) is an essential tool in a digital twin not only to verify and validate a virtual twin before it is transformed into a physical twin, but also to monitor the use of the physical twin for enhanced sustainability. This paper aims to develop a CAE model for a digital twin to predict the fatigue life of materials. Fatigue damage is represented by the size of a macro-crack that grows with a cluster of micro-cracks subjected to three different loads. The growth angle is related to the maximum circumferential tensile stress, and the growth rate is determined by the stress intensity factor (SIF) at the crack tip. The prediction model takes into consideration the main factors, including micro-cracks, crack closures, and initial configurations. Simulations are developed for the growth of macro-cracks with radially distributed micro-cracks and randomly distributed micro-cracks, and we find that (1) the macro-crack in the second case grows faster than that in the first case; (2) a pure shear load affects the macro-crack propagation more than a combined shear and tensile load or a tensional load; (3) the external stresses required to propagate are reduced when the inclination angle of the micro-crack is small and within (−25° < β < 25°); (4) micro-cracks affect the propagating path of the macro-crack and generally guide the direction of propagation. The developed model has been verified and validated experimentally for its effectiveness in predicting the fracture or fatigue damage of a structure.

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Section: Solution To Sub-problem (Iii) For the Macro-crackmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Digital Twins to Predict Crack Propagation of Sustainable Engineering Materials under Different Loads

Li,

2024

Machines

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“…Dislocation column " z " at dislocation column " w " was generated by the stress; however, an interconnection must be established between the x o y −− and ˆˆx o y −− coordinate systems [56][57] as follows:…”

Section: Y X Y X Y Ij Xx Xy Yymentioning

confidence: 99%

Prediction of rock tensile-shear fracture propagation and crack interaction

Li,

Qin

et al. 2023

Preprint

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The interaction and influence between various rock cracks (unequal and noncolinear) are the root cause of fracture in natural rock bodies. In this study, to analyze the interaction law of such cracks, elastic mechanics and the principle of distributed dislocation were superimposed to calculate the mechanical parameters and expressions of the tip stress intensity factor (SIF) and equivalent SIF of two tensile-shear cracks subjected to far-field force. The effects of secondary crack characteristics on the interactions of SIFs at the main crack tip were theoretically analyzed. Then, a secondary crack inclination angle prediction model was established based on the PSO-LSTM theory. The calculated SIF was found to be consistent with the results of the classical Kachanov method and SIF handbook, which further verified the correctness of the derived expression. The results of this study can provide theoretical guidance for evaluating the stability of underground rock excavation projects.

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Machine learning-based prediction of fracture toughness and path in the presence of micro-defects

Zhang

Feng

et al. 2022

Engineering Fracture Mechanics

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Effect of a Micro-crack on the Edge Macro-crack Propagation Rate and Path Under Mixed Loads

Cited by 5 publications

References 49 publications

Digital Twins to Predict Crack Propagation of Sustainable Engineering Materials under Different Loads

Digital Twins to Predict Crack Propagation of Sustainable Engineering Materials under Different Loads

Prediction of rock tensile-shear fracture propagation and crack interaction

Machine learning-based prediction of fracture toughness and path in the presence of micro-defects

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