November 14, 2025Applied SciencesOpen Access

A Comprehensive Review of Structural Health Monitoring for Steel Bridges: Technologies, Data Analytics, and Future Directions

View Full Paper

Ask AI

Bookmark

Damage detection improves bridge safety and resilience, leveraging machine learning and artificial intelligence.
Key monitoring technologies include wireless sensor networks, fiber optics, and piezoelectric transducers to assess fatigue life.
Assessment of expansion joints is essential for structural health in steel bridges, addressing deployment costs and validation challenges.
Integration of diverse sensing technologies with computational analytics may enable predictive infrastructure management for steel bridges.

Discussion

No takes yet. Share an insight, caveat, or question.

This review highlights advancements in structural health monitoring, focusing on damage detection and resilience in steel bridges.

Elsisi et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark