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Abstract
Structural Health Monitoring (SHM) is an approach in which damage detection techniques are utilized to evaluate critical civil infrastructures including bridges, wind turbines, buildings, and tunnels. Typically, non-destructive methods and sensors embedded in and attached to the structures are used to collect data for data interpretation and condition assessment by experts. SHM is very important as it is a critical tool in evaluating the safety and performance of existing structures to prevent accidental failures of structures. The objective of this paper is to investigate the effect of different damage types on the stiffness and fundamental frequency of a bridge model, using a laboratory train model to develop experimental data. This experimentation assumes a constant train speed (0.225 m/s) and a constant train mass (2.07 kg) in all experiments. Considered variables are i) damage type and ii) damage location. Three damage types are i) complete damage (simulated by removal of a bridge member in the model), ii) partial damage (simulated by replacing a regular member with a softer member), and iii) minor damage (simulated by loosening the screws at a joint). Observation parameters include i) sensor location (AB locations) and ii) axial force response spectrum (0 Hz ∼ 0.5 Hz) using fast Fourier transform (FFT). From our experimental data, it was found that the removal of a railway bridge member leads to the reduction of the bridge stiffness and its fundamental frequency.
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Ritham Batchu, Koosha Raisi, and TzuYang Yu "Structural health monitoring of a train model under traffic loading", Proc. SPIE 12487, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII, 124870T (18 April 2023); https://doi.org/10.1117/12.2658173
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KEYWORDS
Sensors
Bridges
Spectral response
Structural health monitoring
Education and training
Transportation
Frequency response
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