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Open Access

ARTICLE

Structural Health Monitoring by Accelerometric Data of a Continuously Monitored Structure with Induced Damages

Giada Faraco, Andrea Vincenzo De Nunzio, Nicola Ivan Giannoccaro*, Arcangelo Messina
Department of Innovation Engineering, University of Salento, Lecce, 73100, Italy
* Corresponding Author: Nicola Ivan Giannoccaro. Email: email

Structural Durability & Health Monitoring https://doi.org/10.32604/sdhm.2024.052663

Received 10 April 2024; Accepted 22 May 2024; Published online 19 June 2024

Abstract

The possibility of determining the integrity of a real structure subjected to non-invasive and non-destructive monitoring, such as that carried out by a series of accelerometers placed on the structure, is certainly a goal of extreme and current interest. In the present work, the results obtained from the processing of experimental data of a real structure are shown. The analyzed structure is a lattice structure approximately 9 m high, monitored with 18 uniaxial accelerometers positioned in pairs on 9 different levels. The data used refer to continuous monitoring that lasted for a total of 1 year, during which minor damage was caused to the structure by alternatively removing some bracings and repositioning them in the structure. Two methodologies detecting damage based on decomposition techniques of the acquired data were used and tested, as well as a methodology combining the two techniques. The results obtained are extremely interesting, as all the minor damage caused to the structure was identified by the processing methods used, based solely on the monitored data and without any knowledge of the real structure being analyzed. The results use 15 acquisitions in environmental conditions lasting 10 min each, a reasonable amount of time to get immediate feedback on possible damage to the structure.

Keywords

Structural health monitoring; damage detection; vibration measurements; stochastic subspace identification

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