LI Yong-yi, WANG Nan, WU Xin-yue, et al. Research on Non-Cooperative Automatic Docking Strategy of Umbilical Connector for Launch Vehicle under Fluctuating Wind Load[J]. Journal of Beijing University of Aeronautics and Astronautics. doi: 10.13700/j.bh.1001-5965.2023.0506(in Chinese)
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)

Piezoresistivity of cement based material with small amount of graphite

  • Received Date: 20 Oct 2010
  • Publish Date: 30 May 2011
  • Graphite-cement specimens were made by adding water reducing agent in cement, and the specimens- piezoresistivity in a destructive overload experiment was mensurated by a series connected AC circuit. The results present that, if a small amount of graphite was mixed in, the cement material-s uniaxial compressive strength will decrease, at the same time the material-s piezoresistence coefficient will ascend. As the amount of graphite was increased within a small range, the deviation of specimens- relative resistivity decreases, and the piezoresistivity of the material increases. Furthermore, the resistivity of the specimens becomes stable while being loaded. By examining the piezoresistivity curves of the graphite-cement material, similar shape with the stress-strain curves can be got in these experiments. There are three stages while the material-s relative resistivity is changing along with the increase of stress imposed on it which are undulate stage, slowly descend stage and rapidly descend stage. These stages are accordant to the three stages of the failure of cement based material, which are elastic stage, elastic-plastic stage and failure stage.

     

  • [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)
  • Relative Articles

    [1]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.
    [2]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.
    [3]MA S G,LI N B,HOU Z Q,et al. Object detection algorithm based on DSGIoU loss and dual branch coordinate attention[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(4):1085-1095 (in Chinese). doi: 10.13700/j.bh.1001-5965.2023.0192.
    [4]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.
    [5]YANG B,WEI X,YU H,et al. Martian terrain feature extraction method based on unsupervised contrastive learning[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(6):1842-1849 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0525.
    [6]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.
    [7]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.
    [8]LI H G,WANG Y F,YANG L C. Meta-learning-based few-shot object detection for remote sensing images[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(8):2503-2513 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0637.
    [9]ZHANG J H,ZHAO W,WANG Z C,et al. UAV pedestrian tracking algorithm based on detection and re-identification[J]. Journal of Beijing University of Aeronautics and Astronautics,2024,50(8):2538-2546 (in Chinese). doi: 10.13700/j.bh.1001-5965.2022.0675.
    [10]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.
    [11]JIANG Y,CHEN M Y,YUAN Q,et al. Departure flight delay prediction based on spatio-temporal graph convolutional networks[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(5):1044-1052 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0415.
    [12]ZHANG Y Z,LI W B,ZHENG T T. Inverted residual target detection algorithm based on LGC[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(6):1287-1293 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0452.
    [13]CHEN C,ZHAO W. Remote sensing target detection based on dynanic feature selection[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(3):702-709 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0300.
    [14]DAI P Z,LIU X,ZHANG X,et al. An iterative pedestrian detection method sensitive to historical information features[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(9):2493-2500 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0665.
    [15]ZHOU H,HOU Q Y,BIAN C J,et al. An infrared small target detection network under various complex backgrounds realized on FPGA[J]. Journal of Beijing University of Aeronautics and Astronautics,2023,49(2):295-310 (in Chinese). doi: 10.13700/j.bh.1001-5965.2021.0221.
    [16]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.
    [17]SU Kaiqi, YAN Weiqing, XU Jindong. 3D object detection based on multi-path feature pyramid network for stereo images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(8): 1487-1494. doi: 10.13700/j.bh.1001-5965.2021.0525
    [18]LI Zheyang, ZHANG Ruyi, TAN Wenming, REN Ye, LEI Ming, WU Hao. A graph convolution network based latency prediction algorithm for convolution neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(12): 2450-2459. doi: 10.13700/j.bh.1001-5965.2021.0149
    [19]FAN Tao, SUN Tao, LIU Hu. Hot spot detection algorithm of photovoltaic module based on attention mechanism[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(7): 1304-1313. doi: 10.13700/j.bh.1001-5965.2021.0457
    [20]ZENG Sheng, ZHU Fengchao, YANG Jian. A new RF fingerprint identification method based on preamble of signal[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(12): 2566-2575. doi: 10.13700/j.bh.1001-5965.2021.0164
  • Cited by

    Periodical cited type(8)

    1. 吴鹏,穆荣军,邓雁鹏,崔乃刚. 月球探测器鲁棒环形山检测及光学导航方法. 哈尔滨工程大学学报. 2024(02): 238-246 .
    2. 刘晓慧,刘世瑛,刘少然,王镓,钱雪茹. 基于阴影特征的月面凹障碍自动识别检测方法. 深空探测学报(中英文). 2023(06): 659-666 .
    3. 熊月容,康志伟. 基于快照集成卷积神经网络的陨石坑图像分类识别. 中国科技论文在线精品论文. 2022(01): 104-111 .
    4. 肖扬,李帅,王光泽,邵巍,姚文龙. 小天体导航陆标深度学习预测框匹配算法. 深空探测学报(中英文). 2022(04): 400-406 .
    5. 钱洲元,贺亮,张瀚墨,胡阳修,曹涛. 基于灰度特征与几何约束的月面陨石坑自动提取方法. 载人航天. 2021(02): 158-168 .
    6. 王光泽,邵巍,郗洪良,姚文龙,黄翔宇. 小天体表面纹理曲线精准匹配算法. 深空探测学报(中英文). 2021(03): 306-314 .
    7. 花玮,顾梅花,李立瑶,崔琳. 改进SOLOv2的服装图像分割算法. 纺织高校基础科学学报. 2021(04): 74-81 .
    8. 胡涛,贺亮,曹涛,韩宇,张翰墨. 行星陨石坑检测算法研究综述. 载人航天. 2020(05): 656-663 .

    Other cited types(11)

  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3012) PDF downloads(936) Cited by(19)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return