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: 31 August 2024 | Viewed by 302
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
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
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
- structural health monitoring
- advanced sensing technologies
- innovative sensors
- condition monitoring
- damage assessment
