Project Details
Description
The project proposes a development of an intelligent system for damage detection and real-time monitoring. In this project three main aspects are considered. The first one is the development of an improved method for damage localization, identification, and detection in SHM. The second one is the optimal design of WSNs for SHM monitoring. Finally, the third one is the improvement of the reliability of the monitoring and increase the structure live duration. The project will provide deeper insight into the utilization of WSNs for SHM including the sensing techniques, optimization of WSNs design particularly for SHM monitoring, reliability and fault management of WSNs, and damage detection techniques. The proposed system will not only aim to detect damage after it happens but it will also aim to predict damage before it takes place. The continuous monitoring and the damage detection and prediction are very useful tools for preventing unnecessary costly and emergent maintenances. The methodology that the research team proposes starts by a modularization and optimization of the architecture and framework of WSNs for structure health monitoring. The structure is our input for this optimization. Based on some civil engineering and structure behavior models, damage detection and prediction techniques will be developed.
Status | Finished |
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Effective start/end date | 2/1/14 → 10/31/17 |
Funding
- Qatar National Research Fund
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