Advances in Structural Health Monitoring and Seismic Assessment of Civil Engineering Structures
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Civil Engineering".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 111
Special Issue Editors
Interests: topology optimisation; additive manufacturing; machine learning; artificial neural networks; artificial intelligence; structural engineering; civil engineering; bridge engineering; building information modelling; bayesian inference; probabilistic analyses; data-driven engineering methods; structural health monitoring; seismic design; steel structures; energy
Special Issues, Collections and Topics in MDPI journals
Interests: smart structure; structural health monitoring; structural control; earthquake early warning
Special Issues, Collections and Topics in MDPI journals
Interests: smart structures; structural engineering; structural health monitoring; smart materials; carbon; fibres
Interests: composites; nanocomposites; structural analysis and design; numerical modelling; concrete structures; structural materials; polymer-matrix composites; mechanical properties; building systems; topology optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural health monitoring (SHM) has evolved from research and practice and recently expanded into one of the most vibrant areas of civil, structural, mechanical, naval, and aerospace engineering. It embraces research, development, and industry in a rare blend and is one of the fittest fields of knowledge for integrating technological developments, either physical or digital. This explains the recent surge in research articles, private and public-funded projects, and even entire journals devoted to the theme. Moreover, it certainly justifies this Special Issue on the “Advances in Structural Health Monitoring and Seismic Assessment of Civil Engineering Structures”. It will be open, but not limited, to the aforementioned fields of research and is intended to capture significant research and applications involving all novel aspects pertaining to SHM, the technologies already or potentially involved, and places a special emphasis on the applications associated with seismic assessment. We welcome new research, including SHM systems, theoretical works, new concepts, and validation through computational or laboratory investigations, as well as the development of products, case studies of applications, and sectorial systematic reviews.
Dr. Tiago Ribeiro
Dr. Shieh-Kung Huang
Dr. Marcin Górski
Dr. Luís Filipe Almeida Bernardo
Guest Editors
Manuscript Submission Information
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Keywords
- structural health monitoring
- predictive maintenance
- inspection planning
- reliability
- sensing networks and optimization
- signal processing
- system identification
- damage detection, location, and quantification
- structural performance evaluation
- numerical modeling and model updating
- model analysis
- artificial intelligence and data-driven approach
- environmental effect
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