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| 1 | Bolt support mechanism based on elastic theory显示文摘Mechanical model of anchorage surrounding rock considering tray effect was established based on elastic theory,in order to study the mechanism of bolt supporting.Elastic solutions of normal force at point in the interior of a semi-infnite solid were obtained by means of classical displacement function method in elasticity.The factors which influence stress of bolted surrounding rock,such as the length of bolt and tray effect,were analyzed.The absolute value of stress along bolt axes decreased rapidly with an increase in radical distance and the maximum appeared near ends of bolt.With increasing radical distance,the value of radical stress changed from positive to negative roughly and then increased to zero,with maximum at the middle of bolt.The evolution of hoop stress as radical distance increasing was similar with stress along bolt axes.With an increase in depth,the radical effect ranges of all normal stress components were reduced.These suggest that the effect from tray on stress along bolt axes of bolted surrounding rock could be neglected,except near surface of surrounding rock. | Guo Xiaoqian Mao Xianbiao Ma Chao Huang Jinglong | 2013 | International Journal of Mining Science and Technology2013，23，4： | 9 |
| 2 | Action mechanism of a mechanical end-anchorage bolt显示文摘Axial compression stress, produced by the pre-tightening force of a bolt, is a necessary condition for surrounding rock to form a whole structure. For this study, we built a mechanical model for an end-anchorage bolt, which represented the effect of a bolt on the surrounding rock in roadways in order to obtain its elastic solution. Simultaneously, we analyzed factors affecting the axial compression of the bolt on the surrounding rock and obtained the axial stress contours of the anchorage area through this elastic solution. The results indicate that 1) the axial compression stress in the anchorage area is proportional to the pre-tightening force and confirms the rule that stress declines sharply with the increase in axial distance from the bolt, with an effective stress radius of 1 m; 2) the maximum axial compression stress declines first and then rises with the increase in depth from the surface of the anchorage surrounding rock and 3) the size of the axial compression area is mainly determined by the length of the bolt. | WU Yu MAO Xianbiao HUANG Jinglong SUN Fengjuan YAO Banghua | 2010 | Mining Science and Technology2010，20，4： | 3 |
| 3 | Joining of 3DC/SiCcompositestoniobiumalloy 显示文摘 | Jiangtao Xiong Jinglong Li Fusheng Zhang Weidong Huang | 2006 | Scripta Materialia2006，，55： | 1 |
| 4 | Joining of 3D C/SiC composites to niobium alloy 显示文摘 | Jiangtao Xiong Jinglong Li Fusheng Zhang Weidong Huang | 2006 | Scripta Materialia2006，，55： | 1 |
| 5 | A critical review on the biomechanical study of cervical interbody fusion cage显示文摘Anterior Cervical Discectomy and Fusion(ACDF)is the preferred surgical method for the treatment of severe cervical degenerative disc disease with radiculopathy or myelopathy,of which the objectives are to restore the normal height of intervertebral space and cervical lordosis through the implantation of cervical interbody fusion cage.The biomechanical performance of a cervical interbody fusion cage,which plays a significant role in achieving the goals of ACDF,is influenced by multiple factors.In this paper,various studies focusing on the biomechanical performance of cervical interbody fusion cage are reviewed.Furthermore,the research methods,biomechanical evaluation parameters and data analysis methods of these research are analyzed in order to obtain a comprehensive understanding of the progress and limitations of research in this field.Although great progress has been made to clarify the biomechanical behaviors of cervical interbody fusion cage,there is still controversy regarding the issues such as the relative contribution of multiple factors to the performance of cage,the interactions among these factors,as well as whether the effects of factors change with the process of intervertebral osseointegration and so on.Thus,investigations are still needed to improve the comprehension of cervical interbody fusion cage biomechanically. | Huiwen Huang Jinglong Liu Lizhen Wang Yubo Fan | 2021 | Medicine in Novel Technology and Devices2021，，3： | 1 |
| 6 | Coating of Silicon Nitride and its Colloidal Behavior显示文摘 | Qiang Tang Zhipeng Xie Jinglong Yang Yong Huang | 1998 | Journal of Materials Science Letters1998，，14： | 1 |
| 7 | The protective activities of water-soluble C 60 derivatives against nitric oxide-induced cytotoxicity in rat pheochromocytoma cells显示文摘 | Zhen Hu Yudong Huang Wenchao Guan Jinglong Zhang Feng Wang Lei Zhao | 2010 | Biomaterials2010，，34： | 1 |
| 8 | Artificial intelligence-based medical image segmentation for 3D printing and naked eye 3D visualization显示文摘Image segmentation for 3D printing and 3D visualization has become an essential component in many fields of medical research,teaching,and clinical practice.Medical image segmentation requires sophisticated computerized quantifications and visualization tools.Recently,with the development of artificial intelligence(AI)technology,tumors or organs can be quickly and accurately detected and automatically contoured from medical images.This paper introduces a platform-independent,multi-modality image registration,segmentation,and 3D visualization program,named artificial intelligence-based medical image segmentation for 3D printing and naked eye 3D visualization(AIMIS3D).YOLOV3 algorithm was used to recognize prostate organ from T2-weighted MRI images with proper training.Prostate cancer and bladder cancer were segmented based on U-net from MRI images.CT images of osteosarcoma were loaded into the platform for the segmentation of lumbar spine,osteosarcoma,vessels,and local nerves for 3D printing.Breast displacement during each radiation therapy was quantitatively evaluated by automatically identifying the position of the 3D printed plastic breast bra.Brain vessel from multimodality MRI images was segmented by using model-based transfer learning for 3D printing and naked eye 3D visualization in AIMIS3D platform. | Guang Jia Xunan Huang Sen Tao Xianghuai Zhang Yue Zhao Hongcai Wang Jie He Jiaxue Hao Bo Liu Jiejing Zhou Tanping Li Xiaoling Zhang Jinglong Gao | 2022 | Intelligent Medicine2022，2，1： | 0 |
| 9 | A new noise network and gradient parallelisation‐based asynchronous advantage actor‐critic algorithm显示文摘Asynchronous advantage actor‐critic(A3C)algorithm is a commonly used policy opti-mization algorithm in reinforcement learning,in which asynchronous is parallel inter-active sampling and training,and advantage is a sampling multi‐step reward estimation method for computing weights.In order to address the problem of low efficiency and insufficient convergence caused by the traditional heuristic exploration of A3C algorithm in reinforcement learning,an improved A3C algorithm is proposed in this paper.In this algorithm,a noise network function,which updates the noise tensor in an explicit way is constructed to train the agent.Generalised advantage estimation(GAE)is also adopted to describe the dominance function.Finally,a new mean gradient parallelisation method is designed to update the parameters in both the primary and secondary networks by summing and averaging the gradients passed from all the sub‐processes to the main process.Simulation experiments were conducted in a gym environment using the PyTorch Agent Net(PTAN)advanced reinforcement learning library,and the results show that the method enables the agent to complete the learning training faster and its convergence during the training process is better.The improved A3C algorithm has a better performance than the original algorithm,which can provide new ideas for sub-sequent research on reinforcement learning algorithms. | Zhengshun Fei Yanping Wang Jinglong Wang Kangling Liu Bingqiang Huang Ping Tan | 2022 | IET Cyber-Systems and Robotics2022，4，3： | 0 |
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