Novel Sensing Technologies for Structural Health Monitoring and Damage Assessment
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Physical Sensors".
Deadline for manuscript submissions: 31 March 2027 | Viewed by 37
Editors
Interests: civil engineering; structural engineering; steel structures; timber structures; performance of constructed facilities; earthquake engineering; masonry structures; engineering and technology
Interests: structural health monitoring; earthquake engineering; operational modal analysis; damage detection; vibration-based monitoring; artificial intelligence; digital twin; sensor-based monitoring; long-term monitoring of civil infrastructure; data-driven structural assessment
Interests: structural health monitoring; earthquake engineering; operational modal analysis; vibration-based damage detection; finite element model updating; optimal sensor placement; seismic performance assessment; seismic fragility analysis
Interests: structural engineering; structural health monitoring; finite element analysis; earthquake engineering; structural dynamics; numerical modeling; vibration-based assessment; performance evaluation of civil engineering structures; seismic behavior of structures
Special Issue Information
Dear Colleagues,
Structural health monitoring has become an essential research and application field for ensuring the safety, serviceability, and resilience of civil, mechanical, and energy infrastructure systems. Bridges, buildings, dams, towers, tunnels, pipelines, offshore structures, and historical monuments are continuously exposed to environmental actions, aging, material degradation, operational loads, earthquakes, wind, traffic, temperature variations, and climate-related hazards. In this context, advanced sensor technologies play a central role in observing structural behavior, detecting damage at early stages, supporting maintenance decisions, and reducing the risk of sudden failures. Recent developments in sensing systems, wireless communication, edge computing, artificial intelligence, digital twins, and Internet of Things technologies have created new opportunities for more reliable, autonomous, and real-time structural monitoring.
Despite these advances, several challenges remain in the practical implementation of sensor-based structural health monitoring systems. These include sensor placement optimization, long-term durability, power consumption, data quality, synchronization, environmental and operational variability, uncertainty quantification, large-scale data management, and integration of sensor measurements with numerical models and decision-support platforms. Therefore, novel sensors and sensing methodologies are needed to improve the accuracy, robustness, scalability, and applicability of structural health monitoring in both laboratory and field conditions.
This Special Issue aims to present and disseminate the most recent advances in novel sensors, sensing systems, and sensor-based methodologies for structural health monitoring and damage assessment. We welcome original research articles, reviews, and case studies addressing the development, validation, deployment, and integration of sensors for monitoring structural performance, detecting damage, evaluating safety, and supporting digital twin-based infrastructure management.
Topics of interest include, but are not limited to, the following:
- Novel sensors for vibration-based structural health monitoring;
- Wireless sensor networks and IoT-based monitoring systems;
- Accelerometers, strain sensors, displacement sensors, tiltmeters, fiber optic sensors, vision-based sensors, and radar/GNSS-based sensing systems;
- Sensor placement optimization and data acquisition strategies;
- Low-power, edge-based, and autonomous sensing technologies;
- Sensor fusion and multi-source data integration;
- AI-assisted sensor data processing and anomaly detection;
- Environmental and operational variability compensation;
- Digital twin integration using sensor measurements;
- Long-term monitoring of bridges, buildings, dams, towers, tunnels, slopes, and heritage structures;
- Post-earthquake structural assessment using sensor data;
- Uncertainty quantification and reliability of sensor-based SHM systems;
- Field applications, experimental validation, and benchmark studies.
Prof. Dr. Ahmet Can Altunışık
Dr. Fatih Yesevi Okur
Dr. Fezayil Sunca
Dr. Ebru Kalkan
Guest Editors
Manuscript Submission Information
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Keywords
- structural health monitoring
- novel sensors
- wireless sensor networks
- damage detection
- vibration-based monitoring
- sensor fusion
- digital twin
- edge computing
- artificial intelligence
- infrastructure monitoring
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