Advances in Scalable and Robust Structural Health Monitoring for Large Civil Infrastructure
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 148
Special Issue Editors
Interests: online Bayesian system identification; Kalman filtering; particle filtering; machine learning; big data analytics; infrastructure monitoring and maintenance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural Health Monitoring (SHM) has emerged as a critical research area in recent years, aiming to ensure the safety, longevity, and cost-effectiveness of large civil infrastructure. This proposal seeks to establish a Special Issue in our esteemed journal that focuses on advancements in scalable and robust SHM systems for monitoring and assessing the condition of large-scale structures.
This Special Issue aims to collect cutting-edge research and developments in the field of SHM, particularly emphasizing scalability and robustness. We invite contributions from researchers, engineers, and practitioners that address the following aspects:
- Development of sensors with adaptability: Papers highlighting the design, fabrication, and integration of sensors capable of easy installation and integration into existing structures will be considered. Sensing techniques such as computer vision, smart paint, and similar non-contact and contact measurement approaches are of particular interest.
- Algorithms for data processing and damage detection: Contributions focusing on the development of algorithms for processing large amounts of SHM data and providing accurate and reliable damage detection results are welcome. Novel approaches utilizing machine learning and artificial intelligence techniques such as Bayesian system identification, Physics-informed Machine Learning and Transfer Learning are of particular interest.
- Robust data acquisition systems: Papers presenting research on data acquisition systems that demonstrate robustness to environmental factors, such as temperature and fatigue, will be considered.
- Robust modeling for damage assessment: Contributions that address the development of models capable of accounting for variations in loading conditions and other factors affecting the reliability of damage assessment are encouraged.
- Integration of advanced sensor technologies: Papers discussing the utilization of advanced sensor technologies, including fiber optic sensors and wireless sensor networks, to collect real-time data will be considered.
- Application of drones and UAVs in infrastructure health monitoring: Research focusing on the safe and efficient inspection of large structures using drones and Unmanned Aerial Vehicles (UAVs) will be of interest.
- Scalable Cyber-Infrastructure: Papers focused on the secure collection, storage, transfer, and access of the monitoring data will be considered
By collating the latest advancements in scalable and robust SHM systems, this Special Issue aims to achieve the following:
- Showcase the state-of-the-art research and technological developments in the field of SHM for large civil infrastructure.
- Highlight the potential of integrating advanced sensor technologies, data processing algorithms, and aerial platforms to revolutionize monitoring methods.
- Address challenges and explore solutions to ensure enhanced safety, minimized maintenance costs, and increased asset lifespan for large civil infrastructure systems.
Dr. Saeed Eftekhar Azam
Prof. Dr. Erin Bell
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
- scalable, robust, structural health monitoring
- machine learning
- uncertainty
- smart infrastructure
- Bayesian system identification
- computer vision
