Advanced Technologies for Structural Health Monitoring in Engineering Structure
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 211
Special Issue Editors
Interests: bridge engineering; submerged floating tunnel; structural optimization design; numerical simulation; structural health monitoring; life cycle design; durability of structure; reinforcement, repair and maintenance of structures; assessment and methods of structural condition; fluid-structure interaction; theoretical analysis of mechanics
Interests: structural health monitoring; structural damage identification; finite element model updating; nonlinear vibration of cables
Interests: structural health monitoring; vehicle-bridge interaction; physics-informed neural network
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring and intelligent maintenance of bridge structures; structural analysis and multi-scale modeling of bridge structures; construction method and control technology of bridges; evaluation of performance on materials and structures of bridges; testing and experimental study of bridges
Interests: structural health monitoring and digital-twin technologies for civil and infrastructure systems; advanced sensing; data-driven modeling; computational methods condition assessment; anomaly detection; life cycle performance of complex structural systems
Special Issue Information
Dear Colleagues,
In recent years, due to advancements in artificial intelligence, various sensing monitoring technologies, and communication technologies, traditional structural health monitoring (SHM) has gradually evolved toward intelligent structural health monitoring (ISHM), integration of sky–space–ground monitoring technologies, and deep integration of big data and artificial intelligence, among other developments. As a result, the real-time perception of monitoring data, multi-scale and three-dimensional assessment and analysis, decision-making, and the speed of the entire processing process have all become more efficient than traditional structural health monitoring. This has effectively promoted the application of monitoring technology in disaster field monitoring and early warning, significantly improving the safety operation and resilience enhancement of structures. This Special Issue will focus on the main issues of structural engineering health monitoring technology, discuss theories and methods for intelligent structural health monitoring driven by artificial intelligence technology, including robot, unmanned aerial vehicle visualization and other automatic monitoring technologies, big data analysis and processing, and deep integration with artificial intelligence, providing a basis and methods for the early warning of various disasters, contributing to on-demand maintenance and rapid recovery of structural engineering, and generating new technologies and application scenarios for intelligent structural health monitoring. This Special Issue encourages researchers, practitioners and managers to move from the traditional “periodic monitoring and detection, with passive response” model to the intelligent paradigm of “real-time perception, integration of sky–space–ground monitoring technologies, intelligent early alarms, and active maintenance and prevention”, creating more durable and safe, as well as more sustainable, buildings and infrastructure.
Prof. Dr. Yiqiang Xiang
Prof. Dr. Yong Xia
Dr. Xinqun Zhu
Prof. Dr. Jinfeng Wang
Dr. Jixing Cao
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 250 words) can be sent to the Editorial Office for assessment.
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. Buildings 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 (SHM)
- bridges, buildings, dams, tunnels, space structures, heritage structures and other structures
- real-time perception of monitoring data and integration of sky–ground–space monitoring technologies
- methods for assessment of structural conditions
- optimization design and layout of SHM systems
- deep integration of big data and artificial intelligence
- SHM-aided life-cycle performance assessment
- digital twin technology and applications
- monitoring and early alarming of various disasters
- advanced sensing approaches
- lightweight structure monitoring systems for in-service bridge groups
- intelligent safety operation and maintenance and resilience enhancement
- innovation and field applications of SHM
- use of robotics, drones visualisation and other automatic technologies in monitoring
- key issues in SHM
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