Optimal Sensor Placement for Enhanced Efficiency in Structural Health Monitoring of Medium-Rise Buildings

被引:1
|
作者
Saeed, Salman [1 ,2 ]
Sajid, Sikandar H. [2 ,3 ]
Chouinard, Luc [2 ]
机构
[1] Univ Engn & Technol, Natl Inst Urban Infrastructure Planning, Peshawar 25000, Pakistan
[2] McGill Univ, Civil Engn, Montreal, PQ H3A 0C3, Canada
[3] Univ Engn & Technol, Civil Engn, Peshawar 25120, Pakistan
关键词
modal analysis; large-scale modal testing; torsional mode; testing of medium-rise building; ambient vibration testing; CLOCK SYNCHRONIZATION;
D O I
10.3390/s24175687
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Output-only modal analysis using ambient vibration testing is ubiquitous for the monitoring of structural systems, especially for civil engineering structures such as buildings and bridges. Nonetheless, the instrumented nodes for large-scale structural systems need to cover a significant portion of the spatial volume of the test structure to obtain accurate global modal information. This requires considerable time and resources, which can be challenging in large-scale projects, such as the seismic vulnerability assessment over a large number of facilities. In many instances, a simple center-line (stairwell case) topology is generally used due to time, logistical, and economic constraints. The latter, though a fast technique, cannot provide complete modal information, especially for torsional modes. In this research, corner-line instrumented nodes layouts using only a reference and a roving sensor are proposed, which overcome this issue and can provide maximum modal information similar to that from 3D topologies for medium-rise buildings. Parametric studies are performed to identify the most appropriate locations for sensor placement at each floor of a medium-rise building. The results indicate that corner locations at each floor are optimal. The proposed procedure is validated through field experiments on two medium-rise buildings.
引用
收藏
页数:23
相关论文
共 50 条
  • [1] An optimal sensor placement algorithm for structural health monitoring
    Xie, Q.
    Xue, S. T.
    STRUCTURAL HEALTH MONITORING AND INTELLIGENT INFRASTRUCTURE, VOLS 1 AND 2, 2006, : 965 - 969
  • [2] Optimal sensor placement for efficient structural health monitoring
    Azarbayejani, M.
    El-Osery, A.
    Cho, K-K.
    Taha, M. Reda
    STRUCTURAL HEALTH MONITORING 2007: QUANTIFICATION, VALIDATION, AND IMPLEMENTATION, VOLS 1 AND 2, 2007, : 451 - 458
  • [3] A Framework for Optimal Sensor Placement to Support Structural Health Monitoring
    Li, Shen
    Coraddu, Andrea
    Brennan, Feargal
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 10 (12)
  • [4] OPTIMAL SENSOR PLACEMENT METHOD FOR THE PURPOSE OF STRUCTURAL HEALTH MONITORING
    Lam, H. F.
    Chow, H. M.
    Yin, T.
    PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON TALL BUILDINGS, 2010, : 183 - 192
  • [5] Advances and prospects for optimal sensor placement of structural health monitoring
    Yang C.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 39 (17): : 82 - 93
  • [6] Floors for medium-rise timber-framed buildings
    Falk, A
    Engström, D
    Samuelsson, S
    INNOVATIVE WOODEN STRUCTURES AND BRIDGES, 2001, : 295 - 300
  • [7] Modelling surface pressure fluctuations on medium-rise buildings
    Snaebjornsson, Jonas Thor
    Geurts, Chris P. W.
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2006, 94 (11) : 845 - 858
  • [8] Advancements in Optimal Sensor Placement for Enhanced Structural Health Monitoring: Current Insights and Future Prospects
    Wang, Ying
    Chen, Yue
    Yao, Yuhan
    Ou, Jinping
    BUILDINGS, 2023, 13 (12)
  • [9] Influence of placement and height of high-rise buildings on wind pressure distribution and natural ventilation of low- and medium-rise buildings
    Kuznetsov, Sergey
    Butova, Alla
    Pospisil, Stanisla
    INTERNATIONAL JOURNAL OF VENTILATION, 2016, 15 (3-4) : 253 - 266
  • [10] A modified monkey algorithm for optimal sensor placement in structural health monitoring
    Yi, Ting-Hua
    Li, Hong-Nan
    Zhang, Xu-Dong
    SMART MATERIALS AND STRUCTURES, 2012, 21 (10)