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22 results on '"Liu, Jiacun"'

11. Segmentation of micro-cracks in fractured coal based on convolutional neural network

Author

Zheng Jiangtao, Qi Zihao, Liu Jiacun, Ma Deming, and Jü Yang

Subjects
fractured coal, image segmentation of micro-cracks, convolutional neural network, deep learning, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, TA703-712, Mining engineering. Metallurgy, TN1-997
Abstract

The extension, penetration and expansion of coal and rock fracture structure caused by deep mining are the key factors that cause coal and rock damage.Therefore, the accurate characterization of the fracture structure is one of the core elements for understanding the coal and rock failure mechanism and developing coal and gas green co-mining.In this study, the Waifu2x convolutional neural network model was used to process the fractured coal and rock CT images to obtain CT images with higher resolution.And put forward the "seven-step processing method of fissure coal and rock labeling", which improves the efficiency of labeling, and uses image enhancement technology to expand the training set, which meets the model's requirements for the quantity and quality of the training set.The trained U-Net convolutional neural network is used for image segmentation to extract the fracture information in the coal and rock.Through comparison, it is found that the fracture connectivity, opening and distribution obtained by this method are closer to the real CT images, and the four quantitative indicators of the extracted fractures are better than other extraction methods.This study can provide a research foundation for the physical and mechanical behavior and mechanism analysis of fractured coal.

Published
2022
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14. Design, synthesis and in vitro biological studies of novel triazoles with potent and broad-spectrum antifungal activity

Author

Bao, Junhe, primary, Hao, Yumeng, additional, Ni, Tingjunhong, additional, Wang, Ruina, additional, Liu, Jiacun, additional, Chi, Xiaochen, additional, Wang, Ting, additional, Yu, Shichong, additional, Jin, Yongsheng, additional, Yan, Lan, additional, Li, Xiaomei, additional, Zhang, Dazhi, additional, and Xie, Fei, additional

Published
2023
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16. In Situ Embedding Hydrogen‐Bonded Organic Frameworks Nanocrystals in Electrospinning Nanofibers for Ultrastable Broad‐Spectrum Antibacterial Activity

Author

Wang, Yao, primary, Cao, Ran, additional, Wang, Chen, additional, Song, Xiyu, additional, Wang, Ruina, additional, Liu, Jiacun, additional, Zhang, Mengmeng, additional, Huang, Junyi, additional, You, Tingting, additional, Zhang, Yihua, additional, Yan, Dapeng, additional, Han, Wendong, additional, Yan, Lan, additional, Xiao, Jisheng, additional, and Li, Peng, additional

Published
2023
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17. Discovery of Novel Thiosemicarbazides Containing 1,3,5-Triazines Derivatives as Potential Synergists against Fluconazole-Resistant Candida albicans

Author

Xie, Fei, primary, Hao, Yumeng, additional, Liu, Jiacun, additional, Bao, Junhe, additional, Ni, Tingjunhong, additional, Liu, Yu, additional, Chi, Xiaochen, additional, Wang, Ting, additional, Yu, Shichong, additional, Jin, Yongsheng, additional, Li, Liping, additional, Zhang, Dazhi, additional, and Yan, Lan, additional

Published
2022
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19. Design, Synthesis, and in Vitro Evaluation of Novel Antifungal Triazoles Containing Substituted 1,2,3-Triazole-Methoxyl Side Chains

Author

Xie, Fei, primary, Hao, Yumeng, additional, Bao, Junhe, additional, Liu, Jiacun, additional, Liu, Yu, additional, Chi, Xiaochen, additional, Chai, Xiao-Yun, additional, Wang, Ting, additional, Yu, Shichong, additional, Jin, Yongsheng, additional, Yan, Lan, additional, Zhang, Dazhi, additional, and Ni, Tingjunhong, additional

Published
2022
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22. Permeability of Argillaceous Sandstone Modeled with Tortuous Capillary Tubes Using Fractal Geometry

Author

Liu, Jiacun, Xu, Ying, Xiao, Junjie, Li, Xing, and Xia, Kaiwen

Abstract

Quantitative characterization of rock permeability is important for enhancing the extraction efficiency of oil and gas resources and maintaining the long-term stability of deep underground engineering. Fractal theory can quantitatively describe the pore size distribution and tortuosity of the seepage channel. Therefore, a permeability model was proposed based on fractal theory and the capillary tube model. This permeability model considered the tortuosity of the seepage channel and the damage evolution within the rock. Permeability data for argillaceous sandstone at different temperatures, pore pressures, and confining pressures were used to validate the permeability model. The permeability model simultaneously captured the permeability decrease owing to the compaction effect of stress and permeability recovery owing to the damage effect of stress, verifying the accuracy and rationality of the permeability model. Permeability influence factors Kf(damage effect) and Kc(compaction effect) under different temperatures, pore pressures, and confining pressure conditions were examined. The confining pressure and temperature increased Kcand decreased Kf, respectively, suggesting that the permeability of the rock decreases and recovers more significantly at low confining pressures and temperatures. The effect of pore pressure on the permeability influence factor may depend on the failure pattern of the rock, which changes with the confining pressure. The permeability and permeability influence factors exhibited crossover, which is attributed to macro-fracture formation within the rock. The compaction and damage effects of stress changed with the temperature, pore pressure, and confining pressure, consequently resulting in changes in the evolution process of permeability. This study provides a theoretical reference for exploiting tight sandstone reservoirs.

Published
2023
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