Structural assessment of the pedestrian bridge accessing Civita di Bagnoregio, Italy

Buffarini, Giacomo; Clemente, Paolo; Giovinazzi, Sonia; Ormando, Chiara; Scafati, Federico

doi:10.1007/s13349-022-00628-7

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Cited by 6 publications

References 24 publications

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Shake Table Tests of a Bridge Model with Different Seismic Isolation Devices

Ormando,

Clemente,

Roselli

et al. 2024

Lecture Notes in Civil Engineering

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Shake Table Tests of a Bridge Model with Different Seismic Isolation Devices

Ormando,

Clemente,

Roselli

et al. 2024

Lecture Notes in Civil Engineering

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Synchronous LoRa sensor nodes for modal identification in footbridge vibration monitoring

Qiao,

Guan,

Jabbour

et al. 2024

J Civil Struct Health Monit

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This article aims at presenting a preliminary investigation of using long-range and low-cost LoRa (Long Range) technology and two synchronous LoRa sensor nodes for cost-effective footbridge structural health monitoring (SHM). Two sensor nodes with LoRa modules and accelerometers were employed for vibration monitoring and a new attempt was made to use synchronous LoRa nodes for modal identification. In this article, a modal identification method based on a lightweight synchronization concept was proposed. This method is able to identify the fundamental mode of vibrating beam structures. Meanwhile, maximum accelerations can also be tracked periodically from the simultaneously recorded acceleration data by the synchronous LoRa nodes. Specifically, synchronization was achieved through the wireless peer-to-peer (P2P) communication between the two LoRa nodes, with the aim of initializing simultaneous acceleration recordings. The fundamental frequency and the phase information derived from the on-board calculation of the synchronized nodes can then be used to effectively identify the vertical bending mode and torsion mode. A series of laboratory tests were also conducted on a beam structure for the purpose of validation. The test results showed that the fundamental mode of the vibrating beam can be obtained rapidly and accurately using the synchronized LoRa nodes, with an average synchronization accuracy of 4.45 ms. The maximum acceleration data recorded by the LoRa nodes also showed high accuracy when compared with the raw acceleration data collected from a commercial Bluetooth accelerometer node. The fundamental frequencies obtained from both types of nodes also compare reasonably. The proposed modal identification method using two synchronous LoRa sensor nodes provides a basis for the development of a low-cost footbridge SHM system with the integration of IoT techniques. An attempt has been made to perform a preliminary field test on a cable-stayed footbridge, where the fundamental frequency and the mode shape type of the footbridge were successfully identified and its serviceability condition was also found to satisfy the code requirements.

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