Real-Time Structural Damage and Impact Identification, and Life Prediction Using Advanced Sensor Systems and Methods
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Fault Diagnosis & Sensors".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 628
Special Issue Editors
Interests: innovative design of major equipment; damage mechanisms of complex structures; intelligent in situ monitoring; machine vision technology
Special Issues, Collections and Topics in MDPI journals
Interests: structural design of underground engineering equipment; online detection of tool status; tool change robot design; machine vision; shield big data mining and analysis
Interests: dynamics analysis of rotating machinery; advanced damping and vibration control technology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural damage can significantly affect the service life of equipment, making the monitoring of structural damage and impact loads particularly important. Recently, there has been growing interest in intelligent condition monitoring of structures. Intelligent monitoring of structural states primarily utilizes sensors to track changes in the damage conditions of various structures, enabling the identification and warning of current damage, as well as the prediction of the structure's remaining healthy life.
This Special Issue aims to compile original research and review articles on recent advances, technologies, solutions, applications, and new challenges in the field of structural damage identification and prediction.
Potential topics include, but are not limited to, the following:
- Visual impairment recognition;
- Online prediction of structural damage;
- Structural wear and life prediction;
- Structural health monitoring based on multi-sensor systems;
- Load identification and warning;
- Load advance prediction;
- Structural impact identification and early warning;
- Crack initiation monitoring;
- Crack growth prediction;
- Structural fatigue life monitoring;
- Development of new sensors for crack detection.
Prof. Dr. Junzhou Huo
Dr. Laikuang Lin
Dr. Jingyu Zhai
Guest Editors
Manuscript Submission Information
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Keywords
- sensing
- structural damage
- multi-sensor fusion
- structural life prediction
- impact monitoring
- load prediction
- crack detection
- crack initiation and propagation
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