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检索条件"机构=The Key Laboratory of Disaster Forecast and Control in Engineering"
1932 条 记 录,以下是31-40 订阅
排序:
Experimental study on the influence of roadway shape on the evolution of outburst fluid static pressure
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International Journal of Coal Science & Technology 2024年 第4期11卷 274-289页
作者: Jiang Xu Xiaomei Wang Liang Cheng Shoujian Peng Hailin Yang Bin Zhou Feng Jiao State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400030China College of Safety Science and Engineering Xian University of Science and TechnologyXian 710054ShaanxiChina
To explore the static pressure dynamic disaster mechanism of coal-and-gas outburst(CGO)fluid,the self-developed multifield coupling large-scale physical simulation test system of coal mine dynamic disaster was used to... 详细信息
来源: 评论
Stability analysis of karst anti dip rock slope induced by underground coal mining——A case study of Jiguanling landslide, China
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Journal of Mountain Science 2025年 第4期22卷 1226-1244页
作者: ZHONG Zuliang LIANG Erwei WANG Nanyun XU Yawei School of Civil Engineering Chongqing UniversityChongqing 400045China State key laboratory of coal mine disaster dynamics and control Chongqing 400044China Key Laboratory of New Technology for Construction of Cities in Mountain Area of Ministry of Education Chongqing 400045China
In recent years,the southwestern region of China has experienced a surge in significant mountain collapses,predominantly linked to underground mining *** investigation targets the Jiguanling area in Wulong,Chongqing,e... 详细信息
来源: 评论
Microstructural evolution and hydraulic response of shale self-propped fracture using X-ray computed tomography and digital volume correlation
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International Journal of Mining Science and Technology 2025年 第3期35卷 345-362页
作者: Ting Huang Cheng Zhai Ting Liu Yong Sun Hexiang Xu Yu Wang Jing Huang State Key Laboratory of Coal Mine Disaster Prevention and Control Ministry of EducationChina University of Mining and TechnologyXuzhou 221116China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Low-Carbon Energy and Power Engineering China University of Mining and TechnologyXuzhou 221116China
Methane in-situ explosive fracturing technology produces shale debris particles within fracture channels,enabling a self-propping effect that enhances the fracture network conductivity and long-term *** study employs ... 详细信息
来源: 评论
A novel frequency-division deep-learning approach for magnetotelluric data quality enhancement
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Geophysics 2025年 第3期90卷 WA169-WA187页
作者: Yu, Nian Ji, Mingjie Zhang, Chao Ye, Yi Zhou, Wei Chongqing University School of Electrical Engineering Chongqing China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing China Chongqing University School of Resources and Safety Engineering Chongqing China
High signal-To-noise ratio magnetotelluric (MT) data are crucial for accurately interpreting subsurface structures. Recently, deep learning has become popular for MT denoising due to its ability to avoid parameter tun... 详细信息
来源: 评论
Theoretical and Experimental Study on Tension–Torsion Coupling Vibration for Time-Varying Elevator Traction System
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Acta Mechanica Solida Sinica 2023年 第6期36卷 899-913页
作者: Peng Xu Qifeng Peng Fusong Jin Jianghong Xue Hong Yuan MOE Key Laboratory of Disaster Forecast and Control in Engineering School of Mechanics and Construction EngineeringJinan UniversityGuangzhou 51063China University of Health and Rehabilitation Sciences Qingdao 266071China School of Architectural Engineering Guangzhou Institute of Science and TechnologyGuangzhou 510540China Qingdao Xinghua Intelligent Equipment Co. Ltd.Qingdao 266114China
Elevators used in ultra-high buildings are prone to vibrating due to their ultra-long traction ropes,which significantly affects the comfort and safety of high-speed ***,vibration of the elevator has always been a top... 详细信息
来源: 评论
Energy dissipation mechanism and ballistic characteristic optimization in foam sandwich panels against spherical projectile impact
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Defence Technology(防务技术) 2024年 第5期35卷 108-122页
作者: Jianqiang Deng Tao Liu Liming Chen Xin Pan Jingzhe Wang Shaowei Zhu Weiguo Li College of Aerospace Engineering Chongqing UniversityChongqing 400030China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing 400030China Chongqing Key Laboratory of Heterogeneous Material Mechanics Chongqing UniversityChongqing 400030China State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China
This study systematically examines the energy dissipation mechanisms and ballistic characteristics of foam sandwich panels(FSP)under high-velocity impact using the explicit non-linear finite element *** on the geometr... 详细信息
来源: 评论
Effects of aggregate size distribution and carbon nanotubes on the mechanical properties of cemented gangue backfill samples under true triaxial compression
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International Journal of Minerals,Metallurgy and Materials 2025年 第2期32卷 311-324页
作者: Qian Yin Fan Wen Zhigang Tao Hai Pu Tianci Deng Yaoyao Meng Qingbin Meng Hongwen Jing Bo Meng Jiangyu Wu State Key Laboratory of Intelligent Construction and Healthy Operation and Maintenance of Deep Underground Engineering China University of Mining and TechnologyXuzhou 221116China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China State Key Laboratory for Geomechanics&Deep Underground Engineering China University of Mining and Technology(Beijing)Beijing 100083China Key Laboratory of Xinjiang Coal Resources Green Mining Ministry of EducationXinjiang Institute of EngineeringUrumqi 830023China
The mechanical behavior of cemented gangue backfill materials(CGBMs)is closely related to particle size distribution(PSD)of aggregates and properties of cementitious ***,the true triaxial compression tests,CT scanning... 详细信息
来源: 评论
A new type of shale gas reservoir—carbonate-rich shale: From laboratory mechanical characterization to field stimulation strategy
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Petroleum Science 2024年 第5期21卷 3047-3061页
作者: Zhen-Hui Bi Lei Wang Chun-He Yang Yin-Tong Guo Wu-Hao Guo Han-Zhi Yang Key Laboratory of Geomechanics and Geotechnical Engineering Safety Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071HubeiChina University of Chinese Academy of Sciences Beijing100049China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing UniversityChongqing400044China
Recently, a new promising type of marine shale gas reservoir, carbonate-rich shale, has been *** the mechanical properties of this type of shale were still unrevealed and the corresponding reservoir stimulation design... 详细信息
来源: 评论
A novel binary effective medium model to describe the prepeak stressstrain relationship of combined bodies of rock-like material and rock
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International Journal of Mining Science and Technology 2023年 第5期33卷 601-616页
作者: Tienan Wang Yue Zhai Huan Gao Yubai Li Ruifeng Zhao School of Geological Engineering and Geomatics Chang’an UniversityXi’an 710064China Key Laboratory of Mine Geological Disaster Hazard Mechanism and Control Ministry of Natural ResourcesXi’an 710064China
Combined bodies of rock-like material and rock are widely encountered in geotechnical engineering,such as tunnels and *** existing theoretical models describing the stress-strain relationship of a combined body lack a... 详细信息
来源: 评论
Channel pruning method driven by similarity of feature extraction capability
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Soft Computing 2025年 第2期29卷 1207-1226页
作者: Sun, Chuanmeng Chen, Jiaxin Li, Yong Wang, Yu Ma, Tiehua State Key Laboratory of Dynamic Measurement Technology North University of China Shanxi Taiyuan030051 China School of Electrical and Control Engineering North University of China Shanxi Taiyuan030051 China State Key Laboratory of Coal Mine Disaster Dynamics and Control Chongqing University Chongqing400044 China
Channel pruning is a method to compress convolutional neural networks, which can significantly reduce the number of model parameters and the computational amount. Current methods that focus on the internal parameters ... 详细信息
来源: 评论