Special Issue "Bridge Structural Health Monitoring and Damage Identification"
Deadline for manuscript submissions: closed (30 November 2018)
Bridge structural health monitoring (BSHM) has the potential to perform an essential role in monitoring aging bridges since it can identify early damage propagation, which may evolve into huge economic losses and catastrophic failures. Bridges, which involve complicated engineering, are frequently located in restricted areas, such as cliffs, rivers, and straits. For connecting two separated areas, various types of bridges have been developed and constructed, including long span suspension or cable-stayed bridges, and steel–concrete composite bridges. Regarding this situation, BSHM adopts various sensors, such as cameras, wireless sensors, and radar to better examine bridges from distinct perspectives. Hereinafter, non-conventional methodologies and techniques, such as data driven approaches, are investigated. However, the reliability and accuracy of BSHM is, to date, out of reach, since more sophisticated bridges are constructed, which requires further investigation and a deeper understanding of BSHM.
This Special Issue aims to explore BSHM via various sensing techniques and related approaches, especially those for real bridge applications. This shall include multidisciplinary studies, and, thus, welcomes investigations related to BSHM from mechanical engineering, civil engineering, numerical simulations, signal processing, and so on.
This Special Issue aims to publish high-quality investigations regarding BSHM and damage identification, as well as reviews summarizing advances over recent years. Original, high-quality contributions that are not published elsewhere are welcome for this Special Issue.
Potential topics include, but are not limited to, the following:
- Bridge structural health monitoring
- Damage identification including detection, localization and quantification methods
- Machine learning in BSHM
- Artificial intelligence BSHM
- Big data processing and management
- Advanced sensing systems in BSHM
- Robotic inspecting system in BSHM
- Embedded sensing system in BSHM
- Long-term condition monitoring for bridges
Papers are published upon acceptance, regardless of the Special Issue publication date.
Dr. Yun Lai Zhou
Dr. Magd Abdel Wahab
Dr. Eloi Figueiredo
Dr. Francisco Javier Cara Cañas
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 papers will be 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 1800 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.
- Bridge structural health monitoring
- Damage identification
- Machine learning
- Artificial intelligence
- Robotic inspection
- big data processing