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
Xu Chunlin, Ai Jun, Chen Bin, Lin Shen, Lu Yaoqing. EXPERIMENTAL RESEARCH ON FATIGUE PERFORMANCE OF DAMAGED BEAMS STRENGTHENED WITH PRESTRESSED CFRP SHEETS[J]. INDUSTRIAL CONSTRUCTION, 2011, 41(7): 129-132. doi: 10.13204/j.gyjz201107028
Citation: JIN Qinming, CHENG Guozhong, LI Dongsheng, WANG Cong, CHEN Shasha, WANG Ruirong, BI Jinggang. Intelligent Deformation Monitoring for Lifting Space Frames Based on Point Cloud Data[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(12): 209-215. doi: 10.13204/j.gyjzG21061811

Intelligent Deformation Monitoring for Lifting Space Frames Based on Point Cloud Data

doi: 10.13204/j.gyjzG21061811
  • Received Date: 2021-06-18
    Available Online: 2023-03-22
  • Deformation monitoring is one of the most essential means of ensuring construction safety for lifting space frames. Current traditional methods only enable deformation monitoring at local points, but not for the whole structure. Three-dimensional (3D) laser scanning technology can capture accurate point clouds of as-built structures through full-coverage scanning, thus providing a innovative solution to the above issue. To this end, the research on intelligent deformation monitoring for lifting space frames based on point cloud data, including point cloud data preprocessing, non-rigid matching of point clouds and lifting deformation visualization, was carried out based on a practical engineering project, namely Luzhou Railway Station. Based on clustering algorithms, random sample consensus, graph structural methods and orthogonal procrustes analysis, a non-rigid matching algorithm integrating intelligent sphere positioning, coarse sphere matching, non-rigid sphere matching was proposed for the non-rigid matching of point clouds of space frames before and after lifting. The results showed that the proposed intelligent deformation monitoring approach based on point cloud data was efficient, comprehensive and practical.
  • [1]
    董石麟. 我国大跨度空间钢结构的发展与展望[J]. 空间结构, 2000, 6(2):3-13.
    [2]
    翁凯. 大跨度钢管桁架结构的施工技术研究[D]. 天津:天津大学, 2012.
    [3]
    陈晋中, 郝林山. 高层与大跨结构施工技术[M]. 北京:机械工业出版社, 2004.
    [4]
    蔡俊. 大跨度钢网架结构整体提升施工关键技术应用研究[D]. 广州:华南理工大学, 2016.
    [5]
    季克建. 基于BIM技术的网架液压提升施工技术[J]. 施工技术, 2019, 48(10):92-95.
    [6]
    雷素素, 刘宇飞, 段先军, 等. 复杂大跨空间钢结构施工过程综合监测技术研究[J]. 工程力学, 2018, 35(12):203-211.
    [7]
    MA Z, LIU S. A review of 3D reconstruction techniques in civil engineering and their applications[J]. Advanced Engineering Informatics, 2018, 37:163-174.
    [8]
    WANG Q, KIM M K. Applications of 3D point cloud data in the construction industry:a fifteen-year review from 2004 to 2018[J].Advanced Engineering Informatics, 2019, 39:306-319.
    [9]
    WU Z, ZENG Y, LI D, et al. High-volume point cloud data simplification based on decomposed graph filtering[J]. Automation in Construction, 2021, 129, 103815.
    [10]
    BROWN B J, RUSINKIEWICZ S. Global non-rigid alignment of 3-D scans[J]. ACM Transactions on Graphics, 2007, 26(3):21.
    [11]
    BENTLEY J L, FRIEDMAN J H. Data structures for range searching[J]. ACM Computing Surveys (CSUR), 1979, 11(4):397-409.
    [12]
    ALTMAN N S. An introduction to kernel and nearest-neighbor nonparametric regression[J]. The American Statistician, 1992, 46(3):175-185.
    [13]
    BLOMLEY R, WEINMANN M, LEITLOFF J, et al. Shape distribution features for point cloud analysis-a geometric histogram approach on multiple scales[J]. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014, 2(3):9.
    [14]
    ESTER M, KRIEGEL H P, SANDER J, et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C]//Knowledge Discovery and Data Mining. 1996, 96(34):226-231.
    [15]
    FISCHLER M A, BOLLES R C. Random sample consensus:a paradigm for model fitting with applications to image analysis and automated cartography[J]. Commun. ACM, 1981, 24(6):381-395.
    [16]
    AIGER D, MITRA N J, COHEN-OR D. 4-points congruent sets for robust pairwise surface registration[J]. ACM Transactions on Graphics, 2008, 27(3):1-10.
    [17]
    LUXBURG ULRIKE V. A tutorial on spectral clustering[J]. Statistics and Computing, 2007, 17(4):395-416.
    [18]
    HAGBERG A, SWART P, S CHULT D. Exploring network structure, dynamics, and function using NetworkX[R]. Los Alamos, NM (United States):Los Alamos National Lab.(LANL), 2008.
    [19]
    WATTS D J, STROGATZ S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684):440-442.
  • Relative Articles

    [1]MIN Xinzhe, TU Yongming. Experimental Research on the Fatigue Damage Characteristics of CFRP Plate-Concrete Bonding Interface[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(2): 254-262. doi: 10.3724/j.gyjzG24091902
    [2]CAO Baoya, YANG Bingyi, LI Aiqun, DENG Yang, DING Youliang. Wind-Induced Fatigue Study of Bolted Flange Joints of Self-Standing Steel Chimneys[J]. INDUSTRIAL CONSTRUCTION, 2025, 55(1): 75-85. doi: 10.3724/j.gyjzG24071501
    [3]QIU Bin, LEI Honggang, SHEN Yu, JI Xuanzhe. Fatigue Load Spectrum Research of the Grid Structure Under Suspension Crane Loading[J]. INDUSTRIAL CONSTRUCTION, 2023, 53(12): 143-151. doi: 10.13204/j.gyjzG21102408
    [4]WANG Xudong, HUANG Zhenghua, HAN Han. Prediction of Fatigue Crack Initiation Life of Unstiffened CHS Steel Tube X-Joints Under Quasi-Static Loading[J]. INDUSTRIAL CONSTRUCTION, 2022, 52(5): 83-89,225. doi: 10.13204/j.gyjzG21070802
    [5]WANG Wujun, JIE Zhiyu, CHEN Chao. FATIGUE PERFORMANCE OF CRACKED WELDED CRUCIFORM JOINTS STRENGTHENED BY CFRP[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(5): 181-187. doi: 10.13204/j.gyjzG20011305
    [6]LIU Hui, CHEN Shichao, ZHOU Piao. HIGH-CYCLE FATIGUE PERFORMANCES AND MULTIAXIAL FATIGUE-LIFE PREDICTION FOR WELDED STEEL PIPES OF Q345[J]. INDUSTRIAL CONSTRUCTION, 2021, 51(2): 166-170. doi: 10.13204/j.gyjzG201906200004
    [11]Peng Yang, Tong Lewei, Zhao Xiao-Ling. RESEARCH DEVELOPMENTS IN FATIGUE BEHAVIOUR OF WELDED CAST STEEL JOINTS IN TUBULAR TRUSSES[J]. INDUSTRIAL CONSTRUCTION, 2010, 40(9): 105-109,110. doi: 10.13204/j.gyjz201009027
    [12]Wen Xiaoming, Zheng Shansuo. THE DISCUSSION ON THE FATIGUE CRACK BETWEEN WEB AND UPPER FLANGE OF WELDED CRANE BEAM[J]. INDUSTRIAL CONSTRUCTION, 2004, 34(10): 59-61. doi: 10.13204/j.gyjz200410018
  • Cited by

    Periodical cited type(5)

    1. 麦吾兰·吐尔逊江,塞尔江·哈力克. 新疆阿图什传统民居营造特征与生态智慧研究. 城市建筑. 2024(01): 35-39 .
    2. 李世芬,秦云鹏,况源. 多目标导向下的严寒地区乡村民居设计方法研究. 当代建筑. 2023(02): 125-128 .
    3. 郭会坤,王岩,费凡,徐晨. 以主客观评价为导向的邯郸广府民居冬季热环境优化改造对策. 天津城建大学学报. 2023(02): 108-115 .
    4. 张磊,韩庆卿,桑国臣,朱轶韵,崔晓玲,韩玮霄,余航凯. 极端干热地区传统民居热环境测试与气候适应性分析. 建筑科学. 2023(10): 50-56 .
    5. 杨柳,郝天,刘衍,袁玮晴,刘加平. 传统民居的干热气候适应原型研究. 建筑节能(中英文). 2021(11): 105-115 .

    Other cited types(7)

  • Created with Highcharts 5.0.7Amount of accessChart context menuAbstract Views, HTML Views, PDF Downloads StatisticsAbstract ViewsHTML ViewsPDF Downloads2024-052024-062024-072024-082024-092024-102024-112024-122025-012025-022025-032025-0402.557.510
    Created with Highcharts 5.0.7Chart context menuAccess Class DistributionFULLTEXT: 12.7 %FULLTEXT: 12.7 %META: 85.1 %META: 85.1 %PDF: 2.2 %PDF: 2.2 %FULLTEXTMETAPDF
    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 13.4 %其他: 13.4 %上海: 0.7 %上海: 0.7 %九江: 4.5 %九江: 4.5 %北京: 1.5 %北京: 1.5 %十堰: 0.7 %十堰: 0.7 %唐山: 0.7 %唐山: 0.7 %嘉兴: 0.7 %嘉兴: 0.7 %常德: 3.0 %常德: 3.0 %张家口: 3.0 %张家口: 3.0 %成都: 0.7 %成都: 0.7 %扬州: 0.7 %扬州: 0.7 %新乡: 0.7 %新乡: 0.7 %晋城: 1.5 %晋城: 1.5 %杭州: 2.2 %杭州: 2.2 %温州: 0.7 %温州: 0.7 %湖州: 0.7 %湖州: 0.7 %芒廷维尤: 26.9 %芒廷维尤: 26.9 %衢州: 0.7 %衢州: 0.7 %西宁: 26.9 %西宁: 26.9 %西安: 1.5 %西安: 1.5 %运城: 4.5 %运城: 4.5 %郑州: 1.5 %郑州: 1.5 %长沙: 1.5 %长沙: 1.5 %青岛: 0.7 %青岛: 0.7 %其他上海九江北京十堰唐山嘉兴常德张家口成都扬州新乡晋城杭州温州湖州芒廷维尤衢州西宁西安运城郑州长沙青岛

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

    Article Metrics

    Article views (240) PDF downloads(4) Cited by(12)
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return