Topic Editors
Structural Health Monitoring Applied to Civil and Mechanical Engineering
Topic Information
Dear Colleagues,
The safety and reliability of civil and mechanical engineering systems—such as buildings, bridges, wind turbines, aerospace structures, and industrial machinery—are of paramount concern to researchers and practitioners. Structural health monitoring (SHM) plays a critical role in ensuring these objectives by enabling real-time condition assessment and early warning of damage. Recent breakthroughs in sensing technologies, communication protocols, and intelligent algorithms have significantly advanced the application of SHM across both domains. Based on structural responses measured via various sensors, the safety performance of a structure can be evaluated through monitoring data analysis, feature extraction, and inverse identification of structural parameters. However, not all loads are known or directly measurable, and only a limited set of structural responses can be captured. Therefore, structural load identification and response reconstruction remain essential components of SHM. Furthermore, the integration of artificial intelligence and machine learning has opened new frontiers, enabling data-driven modeling, anomaly detection, and predictive maintenance by establishing complex mappings between monitored signals and structural states.
This Topic invites original research articles and comprehensive reviews that highlight the state of the art in structural health monitoring applied to civil and/or mechanical engineering systems. Topics of interest include, but are not limited to, innovative sensor development, damage detection and localization, fatigue monitoring, vibration-based diagnostics, uncertainty quantification, and the fusion of physics-based models with data-driven approaches.
We look forward to receiving your contributions that advance the theory and practice of SHM across these interconnected engineering fields.
Prof. Dr. Yang Yang
Dr. Lijun Liu
Dr. Ning Yang
Topic Editors
Keywords
- structural health monitoring
- damage detection and localization
- structural load identification
- structural response reconstruction
- fatigue assessment
- uncertainty quantification
- data-driven diagnosis
- intelligent algorithms
- sensor networks
- remote sensing
- non-destructive testing (NDT)
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Applied Mechanics
|
1.5 | 3.5 | 2020 | 24.5 Days | CHF 1400 | Submit |
Applied Sciences
|
2.5 | 5.5 | 2011 | 16 Days | CHF 2400 | Submit |
Buildings
|
3.1 | 4.4 | 2011 | 15.1 Days | CHF 2600 | Submit |
CivilEng
|
2.0 | 4.0 | 2020 | 21.7 Days | CHF 1400 | Submit |
Journal of Experimental and Theoretical Analyses
|
- | - | 2023 | 29.1 Days | CHF 1000 | Submit |
Materials
|
3.2 | 6.4 | 2008 | 15.5 Days | CHF 2600 | Submit |
NDT
|
- | - | 2023 | 27.8 Days | CHF 1000 | Submit |
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