Structural Health Monitoring Through Advanced Artificial Intelligence
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 345
Special Issue Editors
Interests: structural control; advanced large-scale structural testing; smart structures; earthquake engineering
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; artificial intelligence; information theory; bridge engineering; smart structural control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapidly emerging field of resilient and smart cities is redefining urban development and preserving existing infrastructure against natural hazards. Central to this field is structural health monitoring through advanced artificial intelligence, which involves the use of networked sensing and monitoring to collect and analyze vast amounts of data from sensors and digital images. Artificial intelligence methodologies, including machine learning, have shown superiority in model updating, diagnostics, data interpretation, and damage detection. These advancements are transforming traditional SHM approaches, making them more efficient and accurate. With the integration of technologies such as artificial intelligence, the Internet of Things (IoT), and big data analytics, structural health monitoring can be advanced and significantly improved, offering better damage assessment, precise localization, and enhanced monitoring capabilities. Therefore, structural health monitoring through advanced artificial intelligence is needed to ensure the longevity, reliability, and performance of structures.
Dr. Chia-Ming Chang
Prof. Dr. Tzu-Kang Lin
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. 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
- artificial intelligence
- machine learning
- damage detection
- feature extraction
- system identification
- lifecycle assessment
- real-time monitoring
- advanced monitoring techniques
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