Condition Assessment and Reliability Analysis Enabled by Structural Health Monitoring Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 204
Special Issue Editor
Interests: structural health monitoring; reliability analysis; wireless sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Condition assessment and reliability analysis, which are enabled by structural health monitoring (SHM) sensors, are now crucial in engineering structures. SHM involves deploying advanced sensors, e.g., FBG sensors, RFID sensors, MEMS sensors, piezoelectric sensors, etc., to continuously monitor the performance of structures. These sensors can detect the external load, environmental parameters (e.g., temperature, humility), and structural responses (e.g., vibration, strain, displacement, temperature), providing real-time data that help engineers identify potential problems before major or catastrophic damage is caused to the structure. The integration of SHM with data analytics and machine learning enables the performance of predictive maintenance, reducing operational costs and enhancing safety. However, challenges remain. For example, the performance of sensors can be affected by environmental factors, and the complexity of structures enhances the difficulty of damage detection and quantification.
Therefore, this Special Issue aims to publish original research and review articles that present recent advances, technologies, solutions, applications, and challenges in the field of condition assessment and reliability analysis, when enabled by structural health monitoring sensors. The scope of this Special Issue includes, but is not limited to, the following topics:
- Structural health monitoring;
- Sensors;
- Condition assessment;
- Reliablity analysis;
- Damge detection;
- SHM data analysis;
- Infrastructure safety.
Dr. Qi-Ang Wang
Guest Editor
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Keywords
- structural health monitoring
- sensors
- condition assessment
- reliablity analysis
- damge detection
- SHM data analysis
- infrastructure safety
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