Impedance-Based Non-Destructive Testing Method Combined with Unmanned Aerial Vehicle for Structural Health Monitoring of Civil Infrastructures

被引:39
|
作者
Na, Wongi S. [1 ]
Baek, Jongdae [2 ]
机构
[1] Korea Inst Civil Engn & Bldg Technol, Future Strategy & Convergence Res Inst, Gyeonggi Do 10223, South Korea
[2] Korea Inst Civil Engn & Bldg Technol, Highway & Transportat Res Inst, Gyeonggi Do 10223, South Korea
来源
APPLIED SCIENCES-BASEL | 2017年 / 7卷 / 01期
关键词
unmanned aerial vehicle (UAV); drone; structural health monitoring (SHM); piezoelectric transducer; non-destructive testing;
D O I
10.3390/app7010015
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Unmanned aerial vehicles (UAVs), commonly known as drones, are a rising topic in remote sensing technologies for structural health monitoring. With technology advancement in cameras, the visual inspection method using drones is gaining much attention in the field of civil engineering. However, although visual inspection methods are feasible for finding cracks in structures, the limitations of image processing for finding internal damage or small defects cannot be ignored. To overcome this problem, a possible application concept of UAV, combined with a vibration-based non-destructive health monitoring method, is proposed. The idea is for the drone to temporarily attach the piezoelectric transducer onto a specific region where excitation and data acquisition occurs simultaneously. This eliminates the need for a structure to be covered with hundreds of sensors for monitoring, as this concept uses a single piezoelectric transducer for monitoring a structure. The proposed work offers new areas of research by converging UAV with a vibration-based method, as associated problems are required to be solved.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Qualitative impedance-based health monitoring of civil infrastructures
    Ayres, JW
    Lalande, F
    Chaudhry, Z
    Rogers, CA
    [J]. SMART MATERIALS & STRUCTURES, 1998, 7 (05): : 599 - 605
  • [2] Assessment and Use of Unmanned Aerial Vehicle for Civil Structural Health Monitoring
    Sreenath, Sreehari
    Malik, Haroon
    Husnu, Narman
    Kalaichelavan, Kanimozhi
    [J]. 11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS, 2020, 170 : 656 - 663
  • [3] Piezoelectric Impedance-Based Non-Destructive Testing Method for Possible Identification of Composite Debonding Depth
    Na, Wongi S.
    Baek, Jongdae
    [J]. MICROMACHINES, 2019, 10 (09)
  • [4] The impedance signature method for impedance-based structural health monitoring
    Stancalie, Andrei
    [J]. UPB Scientific Bulletin, Series A: Applied Mathematics and Physics, 2016, 78 (02): : 245 - 254
  • [5] THE IMPEDANCE SIGNATURE METHOD FOR IMPEDANCE-BASED STRUCTURAL HEALTH MONITORING
    Stancalie, Andrei
    [J]. UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS, 2016, 78 (02): : 245 - 254
  • [6] Adhesive Defect Monitoring of Glass Fiber Epoxy Plate Using an Impedance-Based Non-Destructive Testing Method for Multiple Structures
    Na, Wongi S.
    Baek, Jongdae
    [J]. SENSORS, 2017, 17 (06)
  • [7] Implementation of Biomimicry for Detecting Composite Structure Damage Using Impedance-Based Non-Destructive Testing Method
    Kim, Yi-Seul
    Na, Wongi S.
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (02):
  • [8] Non-destructive Assessment and Health Monitoring of Railway Infrastructures
    Salih Serkan Artagan
    Luca Bianchini Ciampoli
    Fabrizio D’Amico
    Alessandro Calvi
    Fabio Tosti
    [J]. Surveys in Geophysics, 2020, 41 : 447 - 483
  • [9] Non-destructive Assessment and Health Monitoring of Railway Infrastructures
    Artagan, Salih Serkan
    Ciampoli, Luca Bianchini
    D'Amico, Fabrizio
    Calvi, Alessandro
    Tosti, Fabio
    [J]. SURVEYS IN GEOPHYSICS, 2020, 41 (03) : 447 - 483
  • [10] Impedance-based structural health monitoring
    Park, Gyuhae
    Inman, Daniel J.
    [J]. TRIBUTE CONFERENCE HONORING DANIEL INMAN, 2017, 10172