Research: Performance Evaluation of Fibre-Optic and MEMS Sensor Networks for Bridge Str...

Research question: How do fibre-optic and MEMS sensor networks compare in accuracy, reliability, and practicality for real-time structural health monitoring of bridges?

Structural health monitoring (SHM) is critical for ensuring the safety and longevity of bridge infrastructure, especially as many existing bridges face age-related deterioration and increasing load demands. Recent advancements in sensor technologies, particularly fibre-optic and MEMS (micro-electromechanical systems) sensors, offer the potential for continuous, distributed, and real-time monitoring of structural integrity under operational and extreme conditions.

Despite growing deployment, there is a research gap in the comparative assessment of these sensor technologies regarding their accuracy, durability, and integration challenges in bridge environments. There is limited published data on side-by-side field or large-scale laboratory evaluation using representative bridge loading scenarios.

This study will design and implement an experimental campaign to deploy both fibre-optic and MEMS sensor arrays on a laboratory-scale bridge model or utilize a high-fidelity public dataset. Data will be collected under controlled loading, with performance compared via statistical analysis of strain, vibration, and damage detection capability. The research aims to provide recommendations for sensor network selection based on empirical evidence, addressing installation, maintenance, and data interpretation aspects.

The findings will inform bridge asset managers and SHM system designers, promoting more resilient and cost-effective infrastructure monitoring strategies, and supporting the transition to smarter, safer civil infrastructure.