Structural Health Monitoring and Intelligent Operation Maintenance of Concrete and Steel Structures
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 111
Special Issue Editors
Interests: structural health monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: structural analysis theory; structural optimization of cable-supported bridges
Special Issues, Collections and Topics in MDPI journals
Interests: structural health monitoring; machine vision; shield tunnel; fatigue analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Civil, mechanical and aeronautical engineering structures or components are often subjected to operational loadings, environmental impacts or earthquake excitations during their service life, which inevitably induce defaults and damages and consequently affect their operational performance. Structural health monitoring and intelligent operation maintenance has increasingly become an essential part of engineering structures with the aim of increasing the safety and reliability of structures through measurements of the operating and loading environment and improving the critical responses of a structure for the tracking and evaluation of incidents, anomalies or damages, along with extending the service life through in-time repairing and strengthening for performance improvement. This Special Issue aims at presenting recent advances in the structural health monitoring and intelligent operation maintenance of concrete and steel structures, particularly the monitoring/maintenance techniques enhanced by machine leaning, computational intelligence or data mining. This Special Issue will cover topics of interest that include, but are not limited to, the following topics:
- Concrete/steel structural health monitoring;
- Concrete/steel structural damage detection;
- Concrete/steel structural safety evaluation;
- Concrete/steel structural deformation identification;
- Operation maintenance of concrete/steel structures;
- Repair and strengthening of concrete/steel structures;
- Application of machine learning for damage detection;
- Application of machine learning for structural maintenance;
- Application of new materials for structural repairing;
- Application of data mining for structural monitoring.
Dr. Demi Ai
Prof. Dr. Hongyou Cao
Prof. Dr. Xiaowei Ye
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 monthly 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
- concrete structures
- steel structures
- damage detection
- structural health monitoring
- intelligent operation maintenance
- repair and strengthening
- machine learning
- data mining
- building monitoring
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