Monitoring of Damage in Composite Structures Using an Optimized Sensor Network: A Data-Driven Experimental Approach
Sensors 2023
Sandris Ručevskis, Tomasz Rogala, Andrzej Katunin

Due to the complexity of the fracture mechanisms in composites, monitoring damage using a vibration-based structural response remains a challenging task. This is also complex when considering the physical implementation of a health monitoring system with its numerous uncertainties and constraints, including the presence of measurement noise, changes in boundary and environmental conditions of a tested object, etc. Finally, to balance such a system in terms of efficiency and cost, the sensor network needs to be optimized. The main aim of this study is to develop a cost- and performance-effective data-driven approach to monitor damage in composite structures and validate this approach through tests performed on a physically implemented structural health monitoring (SHM) system. In this study, we combined the mentioned research problems to develop and implement an SHM system to monitor delamination in composite plates using data combined from finite element models and laboratory experiments to ensure robustness to measurement noise with a simultaneous lack of necessity to perform multiple physical experiments. The developed approach allows the implementation of a cost-effective SHM system with validated predictive performance.


Keywords
composite structure | delamination detection | modal analysis | optimal sensor placement | structural health monitoring
DOI
10.3390/s23042290
Hyperlink
https://www.mdpi.com/1424-8220/23/4/2290

Ručevskis, S., Rogala, T., Katunin, A. Monitoring of Damage in Composite Structures Using an Optimized Sensor Network: A Data-Driven Experimental Approach. Sensors, 2023, Vol. 23, No. 4, Article number 2290. ISSN 1424-8220. Pieejams: doi:10.3390/s23042290

Publication language
English (en)
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