Recent Advances in Structural Health Monitoring of Bridges
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 103
Special Issue Editors
Interests: structural health monitoring; vibration-based model updating; model-based damage identification; historical constructions; masonry bridges; scour monitoring
Interests: structural health monitoring; finite element model updating; operational modal analysis; arch bridge; structural dynamics
Interests: structural health monitoring; finite element model updating; operational modal analysis; modal-based damage identification; self sensing materials; vibrations
Special Issues, Collections and Topics in MDPI journals
Interests: bridge engineering; cultural heritage structures; modal and structural identification; earthquake engineering; structural dynamics; structural health monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural Health Monitoring (SHM) is crucial for ensuring safety and preventing downtime of civil structures and infrastructures. Recent advancements in sensing technologies, modelling strategies and data analysis have significantly improved the ability to identify anomalies, assess structural conditions, and predict future performance. Furthermore, in recent years, traditional sensing techniques have seen a rapid increase in applications, enabling the validation of data analysis methods for SHM towards the technology transfer to industrial practice.
This special issue of Sensors focuses on SHM strategies for bridges, viaducts, and overpasses, addressing the advancements in sensing technologies, experimental techniques, and theoretical development, as well as lessons learned from long-term monitoring experiences of full-scale structures. Suitable topics include, but are not limited to:
- Innovative sensors for SHM;
- Model-based and data-driven techniques for damage identification;
- Digital twin for condition assessment and predictive maintenance;
- Data fusion and multi-sensors integration;
- Population-based SHM methods;
- Vision-based systems for condition assessment;
- Fiber optic sensing networks;
- Monitoring applications to historical bridges;
- Multi-disciplinary approaches for scour monitoring;
- Review of codes, standards, and regulations.
Particular attention is given to contributions demonstrating the applicability of SHM strategies to real-world infrastructures, fostering the transition from academic research to industrial practice. We encourage the submission of original research and review articles from both academia and industry, offering valuable insights into the latest developments and best practices in this rapidly evolving field.
Dr. Paolo Borlenghi
Dr. Ilenia Rosati
Dr. Carlo Rainieri
Prof. Dr. Carmelo Gentile
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- damage identification
- operational modal analysis
- machine learning
- model-based SHM strategies
- data fusion
- digital twin
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