Experimental investigation on rock fracturing performance under high-pressure foam impact

Liu, Songyong; Cui, Yuming; Cui, Song; Li, Zhiqiang; Zhou, Fangyue; Wang, Haodong

doi:10.1016/j.engfracmech.2021.107838

Cited by 11 publications

(2 citation statements)

References 23 publications

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“…After crack initiation in coal, the crack continues to expand under the action of water wedge. Water wedge splitting is a physical phenomenon, tension-water wedge fracture is caused by the combined stress of shear, tension, and pressure on the rock mass, 27 leading to the crack extension. To study the water wedge effect, a crack is taken for research ( Figure 2 ).…”

Section: Mechanism Analysis and Numerical Simulation Of High Voltage ...mentioning

confidence: 99%

Crack Damage Propagation and Morphology Distribution of Hydraulic Electric Pulse Fractured Coal

Bao

Zhang

et al. 2023

ACS Omega

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This work discusses the damage and failure effect of a hydraulic electric pulse and the law of crack growth on coal. The impact and failure effect of a water shock wave and the mechanism of crack initiation, propagation, and arrest were studied by numerical simulation and the fracturing test of coal, combined with CT scanning, PCAS software, and Mimics 3D reconstruction technology. The results show that a high voltage electric pulse that increases permeability is an effective artificial crack making technology. The crack spreads radially along the borehole, and the damage degree, number, and complexity were positively correlated with the discharge voltage and discharge times. The crack area, volume, damage factor, and other parameters increased steadily. The cracks in the coal first start from two symmetrical angles, and finally distribute in a 360 deg circumferential direction, forming a multiangle crack spatial network structure. The fractal dimension of the crack group increases, the number of microcracks and the roughness of the crack group increases, the overall fractal dimension of the specimen decreases, and the roughness between cracks weakens. The cracks then form a smooth coal-bed methane migration channel. The research results can provide some theoretical guidance for the evaluation of crack damage propagation and the effect of electric pulse fracturing in water.

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Section: Mechanism Analysis and Numerical Simulation Of High Voltage ...mentioning

confidence: 99%

Crack Damage Propagation and Morphology Distribution of Hydraulic Electric Pulse Fractured Coal

Bao

Zhang

et al. 2023

ACS Omega

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“…In traditional materials performance evaluation, experimental testing has been an indispensable means; however, the time-consuming and costly nature of experiments has posed challenges for researchers [ 26 , 27 , 28 ]. The complexity of experiments and sample preparation requirements limits the speed and range of testing, especially for composite materials that need to consider multiple load conditions in predicting long-term performance.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Numerical Investigation Integrated with Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Laminates

Hu,

Wei,

Wang

et al. 2024

Polymers

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This study unveils a machine learning (ML)-assisted framework designed to optimize the stacking sequence and orientation of carbon fiber-reinforced polymer (CFRP)/metal composite laminates, aiming to enhance their mechanical properties under quasi-static loading conditions. This work pioneers the expansion of initial datasets for ML analysis in the field by uniquely integrating the experimental results with finite element simulations. Nine ML models, including XGBoost and gradient boosting, were assessed for their precision in predicting tensile and bending strengths. The findings reveal that the XGBoost and gradient boosting models excel in tensile strength prediction due to their low error rates and high interpretability. In contrast, the decision trees, K-nearest neighbors (KNN), and random forest models show the highest accuracy in bending strength predictions. Tree-based models demonstrated exceptional performance across various metrics, notably for CFRP/DP590 laminates. Additionally, this study investigates the impact of layup sequences on mechanical properties, employing an innovative combination of ML, numerical, and experimental approaches. The novelty of this study lies in the first-time application of these ML models to the performance optimization of CFRP/metal composites and in providing a novel perspective through the comprehensive integration of experimental, numerical, and ML methods for composite material design and performance prediction.

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Study on the evolution law and quantitative characterization of micro-crack propagation in the compressive failure process of rocks

Li,

Huang,

Huang

et al. 2024

Engineering Failure Analysis

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Experimental investigation on rock fracturing performance under high-pressure foam impact

Cited by 11 publications

References 23 publications

Crack Damage Propagation and Morphology Distribution of Hydraulic Electric Pulse Fractured Coal

Crack Damage Propagation and Morphology Distribution of Hydraulic Electric Pulse Fractured Coal

Experimental and Numerical Investigation Integrated with Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Laminates

Study on the evolution law and quantitative characterization of micro-crack propagation in the compressive failure process of rocks

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