Source Journal of Chinese Scientific and Technical Papers
Included as T2 Level in the High-Quality Science and Technology Journals in the Field of Architectural Science
Core Journal of RCCSE
Included in the CAS Content Collection
Included in the JST China
Indexed in World Journal Clout Index (WJCI) Report
Volume 43 Issue 6
Dec.  2014
Turn off MathJax
Article Contents
Abstract
References
Article Navigation >  INDUSTRIAL CONSTRUCTION  > 2013  >  43(6): 18-22,31
YANG Yuan, CUI Qiandao, LIAN Jijian, LIU Hongbo, ZHOU Guangen, CHEN Zhihua. LSTM-BASED DAMAGE PREDICTION AND ASSESSMENT OF SPATIAL FRAME STRUCTURE[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(7): 203-208. doi: 10.13204/j.gyjzG20092308
Citation: Guo Yongchang, Xu Shunde, Li Lijuan, Qiu Yongsen. MECHANICAL BEHAVIOR OF HYBRID FIBER CONFINED CONCRETE COLUMNS[J]. INDUSTRIAL CONSTRUCTION, 2013, 43(6): 18-22,31. doi: 10.13204/j.gyjz201306005
shu

MECHANICAL BEHAVIOR OF HYBRID FIBER CONFINED CONCRETE COLUMNS

doi: 10.13204/j.gyjz201306005
  • 1.

    School of Civil and Transportation Engineering,Guangdong University of Technology,Guangzhou 510006,China

  • Received Date: 2013-01-30
  • Publish Date: 2013-06-20
    Abstract
  • The bearing capacity, peak strain, stress-strain relation of circular concrete columns confined by CFRP, BFRP, GFRP and hybrid FRP were analyzed under axial compressive load.The confinement effects of hybrid FRP on concrete columns were analyzed.A strength simulation model and a stress-strain whole process simulation model of hybrid FRP confined concrete columns were presented.The new stress-strain whole process simulation model has good simulation accuracy and does not need piecewise fitting compared with single FRP model provided by Teng et al.The new simulation model is also suitable for single FRP confinement cases.
    • FullText(HTML)
    • References(16)
  • [2] Chen G M,Chen J F,Teng J G.Behaviour of FRP-to-Concrete?Interfaces Between Two Adjacent Cracks: A Numerical?Investigation on the Effect of Bonding Damage [J].Construction?and Building Materials．2012,28:584－591.
    Hollaway L C ,Teng J G.Strengthening and Rehabilitation of Civil?Infrastructures Using Fibre-Reinforced Polymer (FRP) Composites [M].Cambridge England: Woodhead Publishing Limited,2008.
    [3] Li L J,Guo Y C ,Huang P Y,et al.Interfacial Stress Analysis of?RC Beams Strengthened with Hybrid CFS and GFS [J].Construction and Building Materials,2009,23(6):2394－2401.
    [4] Denvid Lau,Hoat Joen Pam.Experimental Study of Hybrid FRP?Reinforced Concrete Beams[J].Engineering Structures,2010,32(12):3857－3865.
    [5] Adelhady Hosny,Hamdy Shaheen,Amr Abdelrahman,et al．?Performance of Reinforced Concrete Beams Strengthened by Hybrid?FRP Laminates [J].Cement and Concrete Composites,2006,28(10):906－913.
    [6] Li Jianchun,Samali Bijan,Ye Lin,et al.Behaviour of Concrete?Beam-Column Connections Reinforced with Hybrid FRP Sheet [J].Composite Structures 2002,57(1－4):357－365.
    [7] Teng J G,Zhao J L,Yu T,et al.Recycling of Coarsely-Crushed?Concrete for Use in FRP Tubular Columns [C]//The First?International Conference on Performance-Based and Life-Cycle?Structural Engineering (PLSE 2012).HongKong:2012:1389－1397.
    [8] Guo Y C ,Huang P Y,Yang Y,et al.Experimental Studies on?Axially Loaded Concrete Columns Confined by Different Materials [J].Key Engineering Materials,2009.
    [9] Bouchelaghem H,Bezazi A,Scarpa F.Compressive Behaviour of?Concrete Cylindrical FRP-Confined Columns Subjected to a New?Sequential Loading Technique [J].Composites Part B －?Engineering．2011,42(7):1987－1993.
    [10] Zhao J L,Teng J G,Yu T,et al.Experimental Behavior of FRPConcrete-Steel Double-Skin Tubular Beams [C]∥11 th?International Symposium on Fiber Reinforced Polymers for?Reinforced Concrete structures.Portugal:2013.
    [11] Hai N D,Mutsuyoshi H,Structural Behavior of Double-Lap Joints?of Steel Splice Plates Bolted/bonded to Pultruded Hybrid CFRP /?GFRP Laminates [J].Construction and Building Materials,2012(30):347－359.
    [12] Rousakis T C ,Karabinis A I.Adequately FRP Confined?Reinforced Concrete Columns Under Axial Compressive Monotonic?or Cyclic Loading [J].Materials and Structures,2012,45(7):957－975.
    [13] Mosallam A,Taha MMR,Kim J J,et al.Strength and Ductility of?RC Slabs Strengthened with Hybrid High-Performance Composite?Retrofit System [J].Engineering Structures,2012(36):70－80.
    [14] Teng J G,Chen J F,Smith S T,et al.FRP-Strengthened RC?Structures [M].John Wiley ＆ Sons,Ltd．,2002.
    [15] Karbhai V M,Gao Y.Composite Jacketed Concrete Under?Uniaxial Compression-Verification of Simple Design Equations [J].Journal of Materials in Civil Engineering,1997,9(4):185－193.
    [16] Miyauchi K,Inoue S,Kuroda T,et al.Strengthening Effects of?Concrete Columns with Carbon Fiber Sheet [J].Transactions of?the Japan Concrete Institute,1999(21):143－150．
    • Relative Articles

  • Relative Articles

    [1]JIN Nan, WU Yongjingbang, SHI Zhongqi, YUE Qingrui, ZHENG Zexing. Research on Methods for Detection and Localization of Color Steel Tile Buildings[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(2): 58-64. doi: 10.3724/j.gyjzG23120810
    [2]WANG Wei, MI Qingren, XIAO Yun, YANG Xincong. Research on the Detection Method of Hollowing and Missing for Building Exterior Walls Based on Visible and Infrared Image Fusion[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 51-59. doi: 10.13204/j.gyjzG22112305
    [3]ZHANG Haoyu, DING Yong, LI Denghua. A Structural Surface Crack Detection Method Based on 3D Reconstruction[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(5): 60-67. doi: 10.13204/j.gyjzG22102611
    [4]FAN Cunjun, JIN Songyan, JIN Nan, SHI Zhongqi, WU Yongjingbang, HAO Xintian. Crack Recognition and Quantitative Analysis Based on Deep Learning[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(8): 126-132. doi: 10.3724/j.gyjzG24061802
    [5]YANG Yinqiang, KANG Shuai, WANG Zifa, HE Zhongying, TENG Hui. Research on Damage Identification for Steel Frames Based on Convolutional Autoencoder and Correlation Function[J]. INDUSTRIAL CONSTRUCTION, 2024, 54(11): 78-86. doi: 10.3724/j.gyjzG23102311
    [6]FAN Lijun. Identification of Crack in Concrete Structures Based on MobileNetV2 of Lightweight Convolutional Network[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(7): 231-236. doi: 10.13204/j.gyjzG23021618
    [7]LI Shujin, XIONG Shuqi, FAN Peiran, WANG Gang. Application Research on Deep Convolutional Neural Network Considering Residual Learning in Structural Damage Identification[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(7): 192-198. doi: 10.13204/j.gyjzg21101009
    [8]LI Rui, ZHANG Chun. RESEARCH ON STRUCTURAL DAMAGE DETECTION METHOD BASED ON ONE-DIMENSIONAL DILATED CONVOLUTION NEURAL NETWORK[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(10): 177-183. doi: 10.13204/j.gyjzg20103011
    [9]ZHOU Yiyi, WANG Jin, LI Jiannan, JIAN Huicheng, ZHOU Qiang, HU Jiayi. STRUCTURAL LAYOUT AND SEISMIC ANALYSIS OF THE SPHERICAL EXHIBITION CENTER IN SUZHOU HIGH SPEED RAILWAY NEW CITY[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(4): 204-212. doi: 10.13204/j.gyjzG20102206
    [10]HU Weibing, YANG Jia, WANG Long, HOU Yanfang. STUDY ON DAMAGE DETECTION AND QUANTIFICATION OF ANCIENT BUILDING TIMBER STRUCTURES BASED ON LAMINATION THEORY AND BP NEURAL NETWORKS[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(11): 71-77,111. doi: 10.13204/j.gyjzG20020501
    [11]Guo Man-liang, Huang Chao-jie, Ling Jiang, Xiao Ming. INTRODUCTION TO PROPOSALS FOR INTERNATIONAL DESIGN COMPETITION FOR SHENZHEN UNIVERSIDE SPORTS CENTRE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(10): 113-119,82. doi: 10.13204/j.gyjz201210024
    [12]Chen Zhihua, Weng Kai, Liu Hongbo, Yan Renzhang, Bu Yidu. THE RESEARCH STATUS AND ENGINEERING APPLICATION OF STAINLESS STEEL ON SPACE GRID STRUCTURE[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(5): 55-62,54. doi: 10.13204/j.gyjz2011205009
    [13]Wang Cheng Zhang Yigang Tan Zhengguang, . ANALYSIS OF LOADING PROCESS OF THE IRSSP AFFECTED BY WEB MEMBER[J]. INDUSTRIAL CONSTRUCTION, 2008, 38(11): 89-92. doi: 10.13204/j.gyjz200811022
    [14]Hong Jinxiang, Huang Wei, Miao Changwen. STUDY ON PREDICTION OF CONCRETE STRENGTH USING WAVELET NEURAL NETWORK[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(7): 47-49. doi: 10.13204/j.gyjz200407013
    • Supplements(0)
    • Cited By

  • Cited by

    Periodical cited type(3)

    1. 周建. 基于长短期记忆网络的田径运动员专项体能训练即时数据采集. 兰州文理学院学报(自然科学版). 2023(03): 107-112 .
    2. 李红民，王健，闫凯. 基于多传感器数据融合的空间结构健康状态评估方法. 建筑结构学报. 2023(S1): 364-371 .
    3. 王健，李红民，闫凯. 基于突变理论的空间钢结构稳定性研究. 山东建筑大学学报. 2023(05): 33-39 .

    Other cited types(4)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-042024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-030123456
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 8.8 %FULLTEXT: 8.8 %META: 89.2 %META: 89.2 %PDF: 2.0 %PDF: 2.0 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 5.9 %其他: 5.9 %其他: 0.5 %其他: 0.5 %[]: 1.0 %[]: 1.0 %临汾: 0.5 %临汾: 0.5 %北京: 10.8 %北京: 10.8 %南京: 1.5 %南京: 1.5 %台州: 0.5 %台州: 0.5 %合肥: 2.0 %合肥: 2.0 %咸阳: 0.5 %咸阳: 0.5 %大连: 0.5 %大连: 0.5 %天津: 1.0 %天津: 1.0 %宣城: 1.0 %宣城: 1.0 %常州: 1.0 %常州: 1.0 %常德: 0.5 %常德: 0.5 %开封: 0.5 %开封: 0.5 %张家口: 2.9 %张家口: 2.9 %扬州: 0.5 %扬州: 0.5 %晋城: 0.5 %晋城: 0.5 %朝阳: 0.5 %朝阳: 0.5 %枣庄: 0.5 %枣庄: 0.5 %济南: 1.5 %济南: 1.5 %湖州: 0.5 %湖州: 0.5 %漯河: 1.5 %漯河: 1.5 %芒廷维尤: 31.9 %芒廷维尤: 31.9 %芝加哥: 0.5 %芝加哥: 0.5 %莫斯科: 1.0 %莫斯科: 1.0 %西宁: 16.7 %西宁: 16.7 %西安: 0.5 %西安: 0.5 %贵阳: 1.5 %贵阳: 1.5 %运城: 6.9 %运城: 6.9 %邯郸: 0.5 %邯郸: 0.5 %郑州: 2.0 %郑州: 2.0 %重庆: 0.5 %重庆: 0.5 %长沙: 1.5 %长沙: 1.5 %青岛: 1.0 %青岛: 1.0 %其他其他[]临汾北京南京台州合肥咸阳大连天津宣城常州常德开封张家口扬州晋城朝阳枣庄济南湖州漯河芒廷维尤芝加哥莫斯科西宁西安贵阳运城邯郸郑州重庆长沙青岛

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
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (128) PDF downloads(58) Cited by(7)
    Proportional views
    Related

    Journal Online

    Authors' Center

    Links

    Copyright © 《工业建筑》杂志社有限公司 京ICP备11033253号-1

    Supported by: Beijing Renhe Information Technology Co. Ltd     百度统计

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return