Citation: | Gan Weimin, Huang Xin, Chen Pengfeiet al. Piezoresistivity of cement based material with small amount of graphite[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(5): 556-559,578. (in Chinese) |
[1] Chung D D L.Self-monitoring structural materials [J].Materials Science and Engineering,1998,22(2):57-78 [2] 毛起炤,陈品华,赵斌元,等.小应力下炭纤维增强水泥的压敏性和温敏性[J].材料研究学报,1997,22(3):322-324 Mao Qizhao,Chen Pinhua,Zhao Binyuan,et al.Compression-sensitivity and temperature-sensitivity of carbon fibre reinforced cement under low stresses [J].Chinese Journal of Materials Research,1997,22(3):322-324 (in Chinese) [3] 吴科如,陈兵,姚武.碳纤维机敏水泥基材料性能研究[J].同济大学学报,2002,30(4):456-463 Wu Keru,Chen Bing,Yao Wu.Smart propertyes of carbon fiber reinforced cement based composite [J].Journal of Tongji University,2002,30(4):456-463 (in Chinese) [4] 关新春,欧进萍,韩宝国,等.碳纤维机敏混凝土材料的研究与进展[J].哈尔滨建筑大学学报,2002,35(6):55-59 Guan Xinchun,Ou Jinping,Han Baoguo,et al.State of art of carbon fiber reinforced concrete [J].Journal of Harbin University of C.E.& Architecture,2002,35(6):55-59 (in Chinese) [5] 韩宝国,关新春,欧进萍.导电掺和料形态与水泥基材料压敏性的相关性[J].复合材料学报,2004,21(3):137-141 Han Baoguo,Guan Xinchun,Ou Jinping.Correlation between shape of electric admixtures and piezoresistive effect of cement based composite materials [J].Acta Materiae Compositae Sinica,2004,21(3):137-141(in Chinese) [6] 范晓明,董旭,孙明清,等.石墨水泥基复合材料的导电及压敏特性研究[J].武汉理工大学学报,2009,31(12):12-14 Fan Xiaoming,Dong Xu,Sun Mingqing,et al.Research on the electric characteristic and pressure sensitivity of graphite-cement based composites [J].Journal of Wuhan University of Technology,2009,31(12):12-14(in Chinese) [7] 韩宝国,关新春,欧进萍.碳纤维水泥石电阻测试方法研究[J].玻璃钢/复合材料,2003(6):6-8,51 Han Baoguo,Guan Xinchun,Ou JinPing.Study of test method for resistance of carbon fiber reinforced cement [J].Fiber Reinforced Plastics/Composites,2003(6):6-8,51 (in Chinese) [8] 毛起炤,孙明清,陈品华.CFRC试块体积电阻和表面电阻的研究[J].武汉工业大学学报,1997,19(2):65-67 Mao Qizhao,Sun Mingqing,Chen Pinhua.Study on volume resistance and surface resistance of CFRC [J].Journal of WuHan University of Technology.1997,19(2):65-67 (in Chinese) [9] Kumar M P,Monteiro Paulo J M.混凝土微观结构、性能和材料[M].3版.北京:中国电力出版社,2008:40-41 Kumar M P,Monteiro Paulo J M.Concrete:microstructure,properties,and materials [M].3rd ed.Beijing:China Electric Power Press,2008:40-41 (in Chinese) [10] 毛起炤,赵斌元,沈大荣,等.水泥基碳纤维复合材料压敏性的研究[J].复合材料学报,1996,13(4):8-11 Mao Qizhao,Zhao Binyuan,Shen Darong,et al.Study on the compression sensibility of cement matrix carbon fiber composite [J].Acta Materiae Compositea Sinica,1996,13(4):8-11 (in Chinese)
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[1] | HOU Z Q,ZHAO J X,CHEN Y,et al. Cascaded object drift determination network for long-term visual tracking[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2240-2252 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0504. |
[2] | WANG Z Y,YIN J H,HUANG B B,et al. A rotated content-aware retina network for SAR ship detection[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2498-2505 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0394. |
[3] | CHENG D Q,FAN S M,QIAN J S,et al. Coordinate-aware attention-based multi-frame self-supervised monocular depth estimation[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2218-2228 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0417. |
[4] | BAI C P,ZHANG S Y,ZHANG X,et al. Spaceborne particle identification platform and application based on convolutional neural network[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(4):1313-1323 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0171. |
[5] | LIU Y N,ZHANG Q,WANG R,et al. Improved YOLOv7 method for aerial small target detection in aerial photography[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2506-2512 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0411. |
[6] | ZHANG Z,YI H H,ZHENG J. Few-shot object detection of aerial image based on language guidance vision[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2338-2348 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0491. |
[7] | ZHU J Z,WANG C,LI X K,et al. A deep reinforcement learning based on discrete state transition algorithm for solving fuzzy flexible job shop scheduling problem[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(4):1385-1394 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0211. |
[8] | ZHANG D D,WANG C P,FU Q. Camouflaged object detection network based on human visual mechanisms[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2553-2561 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0511. |
[9] | LU S Q,GUAN F X,LAI H T,et al. Two-stage underwater image enhancement method based on convolutional neural networks[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(1):321-332 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.1003. |
[10] | MENG W J,AN W,MA S G,et al. An object detection algorithm based on feature enhancement and adaptive threshold non-maximum suppression[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(7):2349-2359 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0534. |
[11] | CHAI G Q,BO X S,LIU H J,et al. Self-supervised scene depth estimation for monocular images based on uncertainty[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(12):3780-3787 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0943. |
[12] | WANG J,LI P T,ZHAO R F,et al. A person re-identification method for fusing convolutional attention and Transformer architecture[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(2):466-476 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0456. |
[13] | HOU Z Q,MA J Y,HAN R X,et al. A fast long-term visual tracking algorithm based on deep learning[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(8):2391-2403 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0645. |
[14] | LI Y H,YU H K,MA D F,et al. Improved transfer learning based dual-branch convolutional neural network image dehazing[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(1):30-38 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0253. |
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[18] | SUN X T,CHENG W,CHEN W J,et al. A visual detection and grasping method based on deep learning[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(10):2635-2644 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0130. |
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