A Study on Structural Health Monitoring Using a Combination of Multi-Accuracy Sensors

Abstract

Japan and Taiwan, located in seismically active regions, face challenges from frequent earthquakes and aging infrastructure, requiring cost-effective and reliable structural health monitoring. This study introduces a new vibration-based approach using multi-accuracy sensors, integrating high- and low-precision sensors to balance cost and performance. Building on Optimal Sensor Placement (OSP) with cubic spline interpolation, we evaluate the feasibility of this mixed-sensor strategy through simulations and experiments. Dynamic response simulations under white noise excitation via the Newmark-β method, combined with Stochastic Subspace Identification (SSI), enable accurate modal parameter identification. Experimental results demonstrate this approach’s effectiveness, highlighting its potential as a scalable solution for structural health monitoring in earthquake-prone regions.