Crognale, M.; Rinaldi, C.; Potenza, F.; Gattulli, V.; Colarieti, A.; Franchi, F. Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers. Sensors2024, 24, 2435.
Crognale, M.; Rinaldi, C.; Potenza, F.; Gattulli, V.; Colarieti, A.; Franchi, F. Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers. Sensors 2024, 24, 2435.
Crognale, M.; Rinaldi, C.; Potenza, F.; Gattulli, V.; Colarieti, A.; Franchi, F. Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers. Sensors2024, 24, 2435.
Crognale, M.; Rinaldi, C.; Potenza, F.; Gattulli, V.; Colarieti, A.; Franchi, F. Developing and Testing High-Performance SHM Sensors Mounting Low-Noise MEMS Accelerometers. Sensors 2024, 24, 2435.
Abstract
In recent years, there has been an increasing interest in adopting novel sensing technologies for the continuous monitoring of structural systems. In this respect, Micro-Electro-Mechanical System (MEMS) sensors are widely used in several applications, including Structural Health Monitoring (SHM). Thanks to their significantly lower cost, ease of installation on the structure, and lower power consumption, they enable extensive, pervasive, and battery-less monitoring systems. This paper presents an innovative high-performance device for SHM applications, based on a low-noise triaxial MEMS accelerometer, providing a guideline and insightful results about the opportunities and capabilities of these devices. Sensor nodes have been designed, developed, and calibrated to meet structural vibration monitoring and modal identification requirements. These components include a protocol for reliable command dissemination through the network and data collection, and improvements to software components for data pipelining, jitter control, and high-frequency sampling. Devices were tested in the lab using shaker excitation. Results demonstrate that MEMS-based accelerometers are a feasible solution to replace expensive piezo-based accelerometers. Deploying MEMS is promising to minimize sensor node energy consumption. Time and frequency domain analysis show that MEMS can correctly detect modal frequencies, useful parameters for damage detection. The acquired data from the test bed were used to examine the functioning of the network, data transmission, and data quality. The proposed architecture has been successfully deployed in a real case study to monitor the structural health of the Marcus Aurelius Exedra Hall within the Capitoline Museum of Rome. The performance robustness was demonstrated and the results showed that the wired sensor network provides dense and accurate vibration data for structural continuous monitoring.
Keywords
Structural Health Monitoring; SHM-board; ultra-low-power micro-controller; Internet of things
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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