Experimental verification of a distributed computing strategy for structural health monitoring

被引:0
|
作者
Spencer, B. F., Jr. [1 ]
Gao, Y. [2 ]
机构
[1] Univ Illinois, Dept Civil & Environm Engn, 205 N Mathews Ave, Urbana, IL 61801 USA
[2] DMJM Harris Inc, New York, NY 10005 USA
关键词
distributed computing strategy; structural health monitoring; smart sensors; flexibility matrix;
D O I
10.1117/12.658904
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A flexibility-based distributed computing strategy (DCS) for structural health monitoring (SHM) has recently been proposed which is suitable for implementation on a network of densely distributed smart sensors. In that approach, a hierarchical strategy is proposed in which adjacent smart sensors are grouped together to form sensor communities. Structural health monitoring is done without relying on central data acquisition and processing. The main purpose of this paper is to experimentally verify this flexibility-based DCS approach. The damage locating vector method that forms foundation of the DCS approach is reviewed. An overview of the DCS approach is presented. This flexibility-based approach is then experimentally verified employing a 5.6 m long three-dimensional truss structure. To simulate damage in the structure, the original truss members are replaced by ones with a reduced cross section. Both single and multiple damage scenarios are studied. Experimental results show that the DCS approach can successfully detect the damage at local elements using only locally measured information.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Structural health monitoring of pipeline with distributed Brillouin sensor
    Zou, LF
    Ferrier, GA
    Afshar, S
    Bao, XY
    STRUCTURAL HEALTH MONITORING AND INTELLIGENT INFRASTRUCTURE, VOLS 1 AND 2, 2003, : 233 - 236
  • [22] Wireless Communication Solution for Distributed Structural Health Monitoring
    Andrzejczak, Artur
    Leczycki, Pawel
    Makowski, Maciej
    Pekoslawski, Bartosz
    Pietrzak, Piotr
    Napieralski, Andrzej
    INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2013, 59 (02) : 177 - 184
  • [23] Structural health monitoring with a distributed mass damper system
    Fu, Tat S.
    Johnson, Erik A.
    STRUCTURAL CONTROL & HEALTH MONITORING, 2014, 21 (02): : 189 - 204
  • [24] Distributed optical fiber systems for structural health monitoring
    Kulchin, Yurii N.
    Vitrik, Oleg B.
    RESILIENCE OF CITIES TO TERRORIST AND OTHER THREATS: LEARNING FROM 9/11 AND FURTHER RESEARCH ISSUES, 2008, : 325 - 340
  • [25] Distributed structural health monitoring with a smart sensor array
    Johnson, TJ
    Brown, RL
    Adams, DE
    Schiefer, M
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2004, 18 (03) : 555 - 572
  • [26] Experimental application of a structural health monitoring methodology
    Reich, GW
    Park, KC
    SMART STRUCTURES AND MATERIALS 2000: SMART SYSTEMS FOR BRIDGES, STRUCTURES, AND HIGHWAYS, 2000, 3988 : 143 - 153
  • [27] A structural health monitoring strategy using cepstral features
    Balsamo, L.
    Betti, R.
    Beigi, H.
    JOURNAL OF SOUND AND VIBRATION, 2014, 333 (19) : 4526 - 4542
  • [28] Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
    Jindal, Apoorva
    Liu, Mingyan
    IEEE-ACM TRANSACTIONS ON NETWORKING, 2012, 20 (04) : 1203 - 1216
  • [29] Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
    Jindal, Apoorva
    Liu, Mingyan
    NONDESTRUCTIVE CHARACTERIZATION FOR COMPOSITE MATERIALS, AEROSPACE ENGINEERING, CIVIL INFRASTRUCTURE, AND HOMELAND SECURITY 2011, 2011, 7983
  • [30] Strategies of structural health monitoring for bridges based on cloud computing
    Furinghetti, Marco
    Pavese, Alberto
    Lunghi, Francesco
    Silvestri, Davide
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2019, 9 (05) : 607 - 616