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 592
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
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
- damage identification
- operational modal analysis
- machine learning
- model-based SHM strategies
- data fusion
- digital twin
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
