Dynamic wireless sensor network-based structural health monitoring system for retractable roof structure

被引:0
作者
Xu, Wucheng [1 ,3 ,4 ]
Zheng, Xiaoqing [2 ]
Shen, Yanbin [1 ,3 ,4 ]
Luo, Yaozhi [1 ,3 ,4 ]
机构
[1] Zhejiang Univ, Coll Civil Engn & Architecture, Hangzhou 310058, Peoples R China
[2] Zhejiang Univ, Ctr Balance Architecture, Hangzhou 310058, Peoples R China
[3] Zhejiang Univ, Innovat Ctr Yangtze River Delta, Jiashan 314102, Peoples R China
[4] Key Lab Space Struct Zhejiang Prov, Hangzhou 310058, Peoples R China
来源
JOURNAL OF BUILDING ENGINEERING | 2024年 / 98卷
基金
中国国家自然科学基金;
关键词
Retractable roof structure; Dynamic wireless sensor network; Tree-type network topology; Network address reassignment; Structural health monitoring; DESIGN;
D O I
10.1016/j.jobe.2024.111302
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Retractable roof structure (RRS) works optimally under varying weather, but is prone to damage due to its complexity, requiring monitoring. Given RRS's large scale, wireless sensor networks (WSNs) are preferred, with dynamic WSNs better adapted to its motion than static ones. A tree- type network topology was designed for dynamic WSN, enabling fast self-routing. It is divided into subnets, each with a relay node as the parent and subordinate relay and sensor nodes as children. Network address reassignment method was proposed to sustain WSN communication during motion. This method involves operations of subnet affiliation change and relay node replacement, the former adjusts the hierarchy between relay nodes across different subnets while preserving parent-child relation within each subnet, and the latter swaps the roles of relay and sensor nodes within one subnet to form a new subnet. Basic communication module with processing, communication, and power management units was used to connect nodes. Dynamic WSN-based structural health monitoring (SHM) system with 372 sensors was developed for the Textile City Sports Center Gymnasium. Mean errors between simulated and measured results were 10.4 % for displacement, 13.6 % for stress during construction, and 13.3 % for tension during service, indicating good agreement. This suggests that the SHM system operated well in both phases. Maximal stress and displacement after unloading were 215.9 MPa and 549 mm, below allowable limits. Monitoring results revealed temperature field non-uniformity with a 9 degrees C maximal difference, and strong temperature-stress correlation, with Pearson coefficients of 0.971, 0.973, and 0.955 for tie rod, chord, and web. RRS movement significantly impacted midspan tie rods in long main trusses, with a mean tension change exceeding 1000 kN. The research methods and conclusions offer valuable references for developing and applying RRS's SHM system.
引用
收藏
页数:17
相关论文
共 45 条
  • [1] Ablikim BCM, 2023, Arxiv, DOI arXiv:2307.12852
  • [2] Battery lifespan enhancement strategies for edge computing-enabled wireless Bluetooth mesh sensor network for structural health monitoring
    Abner, Michael
    Wong, Peter Kok-Yiu
    Cheng, Jack C. P.
    [J]. AUTOMATION IN CONSTRUCTION, 2022, 140
  • [3] Dependable Structural Health Monitoring Using Wireless Sensor Networks
    Bhuiyan, Md Zakirul Alam
    Wang, Guojun
    Wu, Jie
    Cao, Jiannong
    Liu, Xuefeng
    Wang, Tian
    [J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2017, 14 (04) : 363 - 376
  • [4] Byun N., 2024, Measurement, V226, DOI [10.1101/2024.01.31.578117, 2024.01.31.578117, DOI 10.1101/2024.01.31.578117,2024.01.31.578117]
  • [5] Modeling and Kinematic Path Selection of Retractable Kirigami Roof Structures
    Cai, Jianguo
    Zhang, Qian
    Feng, Jian
    Xu, Yixiang
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2019, 34 (04) : 352 - 363
  • [6] Development and analysis of a long-span retractable roof structure
    Cai, Jianguo
    Feng, Jian
    Jiang, Chao
    [J]. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH, 2014, 92 : 175 - 182
  • [7] Experimental study and numerical simulation analysis of the Bolted-Welded hybrid connection joint of steel frame under fire
    Fan, Shenggang
    Duan, Shengjie
    Zeng, Shaoru
    Wu, Yiwen
    Ding, Runmin
    [J]. STRUCTURES, 2022, 41 : 77 - 98
  • [8] Distributed Node Deployment Algorithms in Mobile Wireless Sensor Networks: Survey and Challenges
    Ghahroudi, Mahsa Sadeghi
    Shahrabi, Alireza
    Ghoreyshi, Seyed Mohammad
    Alfouzan, Faisal Abdulaziz
    [J]. ACM TRANSACTIONS ON SENSOR NETWORKS, 2023, 19 (04)
  • [9] Wireless sensor network design for large-scale infrastructures health monitoring with optimal information-lifespan tradeoff
    Hao, Xiao-Han
    Kuok, Sin-Chi
    Yuen, Ka-Veng
    [J]. SMART STRUCTURES AND SYSTEMS, 2022, 30 (06) : 583 - 599
  • [10] Energy-aware versatile wireless sensor network configuration for structural health monitoring
    Hao, Xiao-Han
    Yuen, Ka-Veng
    Kuok, Sin-Chi
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2022, 29 (11)