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Review

Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures

1
Institute of Structural Lightweight Design, Johannes Kepler University Linz, 4040 Linz, Austria
2
Christian Doppler Laboratory for Structural Strength Control of Lightweight Constructions, Johannes Kepler University Linz, 4040 Linz, Austria
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(3), 826; https://doi.org/10.3390/s20030826
Received: 27 December 2019 / Revised: 23 January 2020 / Accepted: 30 January 2020 / Published: 4 February 2020
(This article belongs to the Special Issue Guided-Wave Acoustic Sensors)
Structural health monitoring (SHM) is the continuous on-board monitoring of a structure’s condition during operation by integrated systems of sensors. SHM is believed to have the potential to increase the safety of the structure while reducing its deadweight and downtime. Numerous SHM methods exist that allow the observation and assessment of different damages of different kinds of structures. Recently data fusion on different levels has been getting attention for joint damage evaluation by different SHM methods to achieve increased assessment accuracy and reliability. However, little attention is given to the question of which SHM methods are promising to combine. The current article addresses this issue by demonstrating the theoretical capabilities of a number of prominent SHM methods by comparing their fundamental physical models to the actual effects of damage on metal and composite structures. Furthermore, an overview of the state-of-the-art damage assessment concepts for different levels of SHM is given. As a result, dynamic SHM methods using ultrasonic waves and vibrations appear to be very powerful but suffer from their sensitivity to environmental influences. Combining such dynamic methods with static strain-based or conductivity-based methods and with additional sensors for environmental entities might yield a robust multi-sensor SHM approach. For demonstration, a potent system of sensors is defined and a possible joint data evaluation scheme for a multi-sensor SHM approach is presented. View Full-Text
Keywords: multi-sensor; data fusion; composite; metal; electro-mechanical impedance; guided wave; electrical impedance tomography; carbon nanotube; strain-based SHM multi-sensor; data fusion; composite; metal; electro-mechanical impedance; guided wave; electrical impedance tomography; carbon nanotube; strain-based SHM
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MDPI and ACS Style

Kralovec, C.; Schagerl, M. Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures. Sensors 2020, 20, 826. https://doi.org/10.3390/s20030826

AMA Style

Kralovec C, Schagerl M. Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures. Sensors. 2020; 20(3):826. https://doi.org/10.3390/s20030826

Chicago/Turabian Style

Kralovec, Christoph, and Martin Schagerl. 2020. "Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures" Sensors 20, no. 3: 826. https://doi.org/10.3390/s20030826

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