Advanced Sensors for Structural Health Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 795
Special Issue Editors
Interests: structural dynamics and assessments; railway track monitoring; railway bridge monitoring; machine learning for SHM
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; data mining; artificial intelligence
Interests: structural/infrastructure health monitoring using advanced AI algorithms; big data analytics in civil engineering; signal processing in structural engineering
Interests: sensing technology; smart infrastructure; construction automation; artificial intelligence; genera-tive design
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural Health Monitoring (SHM) systems are crucial for ensuring the safety and integrity of diverse electrical, mechanical, and civil engineering infrastructures from wind turbines to bridges and railways, for example. The rapid advancement of technology has revolutionised the SHM field, involving the development of robust and reliable approaches. Hence, the cutting-edge technologies and the future of SHM represent a moving target. In this context, advanced sensing technologies play an increasingly important role in SHM by collecting data about the condition of a structure, such as its strain, vibration, and temperature. These advanced sensors function as a powerful tool for SHM, providing reliable data for precise condition monitoring and damage assessment. This assists stakeholders (e.g., engineers, emergency operators, and infrastructure owners) in detecting potential damage early on, thereby mitigating the risk of failures. Innovative sensing technologies offer various advantages over traditional sensors, including higher sensitivity, greater selectivity, increased durability, and lower cost. Examples of advanced sensors that are commonly used in SHM consist of fibre optic sensors, microelectromechanical sensors, and nanotechnology sensors. These sensors are being used in a wide range of applications, including transportation infrastructure, energy infrastructure, and building and construction.
All theoretical, experimental, and computational studies covering (but not exclusive to) the topics and fields below are welcome in this Issue:
- Structure health monitoring
- Sensing technologies
- Sensor monitoring
- Automated damage detection/identification
- Structural condition assessment
- Industrial structures monitoring
- Wayside and onboard monitoring systems
- Weigh-in-motion systems
- Intelligent monitoring systems
- Novel health monitoring approaches
- Drone-based monitoring
- Scour monitoring
- Environmental effect detection
- Computer vision techniques
- Industry 4.0 technologies
- Artificial intelligence
- Digital twins
- Internet of Things
- Big data analytics
- Data mining
- Augmented reality and virtual reality
- Emergency management
- Intelligent management systems
- Remote sensing
- Structural dynamics
Dr. Abdollah Malekjafarian
Dr. Meisam Gordan
Dr. Ramin Ghiasi
Dr. Qipei (Gavin) Mei
Guest Editors
Manuscript Submission Information
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Keywords
- structural health monitoring
- advanced sensing technologies
- innovative sensors
- condition monitoring
- damage assessment
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