Paper
10 April 2008 Hybrid vibration-impedance approaches for damage detection in plate-girder bridges
Dong-Soo Hong, Han-Sung Do, Jeong-Tae Kim, Won-Bae Na, Hyun-Man Cho
Author Affiliations +
Abstract
In this paper, a hybrid vibration-impedance approaches is newly proposed to detect the occurrence of damage, the location of damage, and extent of damage in steel plate-girder bridges. Firstly, theoretical backgrounds of the hybrid structural health monitoring are described. The hybrid scheme mainly consists of three sequential phases: 1) to alarm the occurrence of damage in global manner, 2) to classify the alarmed damage into subsystems of the structure, and 3) to estimate the classified damage in detail using methods suitable for the subsystems. Damage types of interest include flexural stiffness-loss in girder and perturbation in supports. In the first phase, the global occurrence of damage is alarmed by monitoring changes in acceleration features. In the second phase, the alarmed damage is classified into subsystems by recognizing patterns of impedance features. In the final phase, the location and the extent of damage are estimated by using modal strain energy-based damage index methods. The feasibility of the proposed system is evaluated on a laboratory-scaled steel plate-girder bridge model for which hybrid vibration-impedance signatures were measured for several damage scenarios.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dong-Soo Hong, Han-Sung Do, Jeong-Tae Kim, Won-Bae Na, and Hyun-Man Cho "Hybrid vibration-impedance approaches for damage detection in plate-girder bridges", Proc. SPIE 6935, Health Monitoring of Structural and Biological Systems 2008, 69351I (10 April 2008); https://doi.org/10.1117/12.776635
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Bridges

Sensors

Ferroelectric materials

Structural health monitoring

Damage detection

Data acquisition

Terbium

Back to Top