Actually, it is crucial to detect and forecast the progressive degradation of structures caused by natural material decay or unexpected vibrations, such as those arising from earthquakes or explosions. However, identifying structural damage by analysing changes in modal parameters, without being influenced by external factors such as environmental effects, can be a complex and time-consuming process. On the other hand, the ability to promptly determine the new behaviour of a structure is crucial for protecting human lives and implementing accurate and timely improvements. Rapid response in critical situations can prevent prolonged interruptions in the functioning of a structure and enable quicker recovery, if feasible. This paper employed methods that directly processed data from a continuous monitoring system, which reduced computational workload. It eliminated the need to extract modal characteristics of the system from the acquired data and provided almost instant feedback on changes in dynamic behaviour. These aspects are crucial for developing sustainable monitoring practices that are both cost-effective and timely.

LOW-COST VIBRATION MONITORING FOR ANOMALY DETECTION AND LOCALIZATION ON MASONRY TOWERS / Bianconi, F.; Standoli, G.; Schiavoni, M.; Clementi, F.. - STAMPA. - 2024:(2024). ( 18th World Conference on Earthquake Engineering (WCEE2024) Milan, Italy 30 june - 5 july 2024).

LOW-COST VIBRATION MONITORING FOR ANOMALY DETECTION AND LOCALIZATION ON MASONRY TOWERS

Bianconi F.
Membro del Collaboration Group
;
Standoli G.
Membro del Collaboration Group
;
Schiavoni M.
Membro del Collaboration Group
;
Clementi F.
Membro del Collaboration Group
2024-01-01

Abstract

Actually, it is crucial to detect and forecast the progressive degradation of structures caused by natural material decay or unexpected vibrations, such as those arising from earthquakes or explosions. However, identifying structural damage by analysing changes in modal parameters, without being influenced by external factors such as environmental effects, can be a complex and time-consuming process. On the other hand, the ability to promptly determine the new behaviour of a structure is crucial for protecting human lives and implementing accurate and timely improvements. Rapid response in critical situations can prevent prolonged interruptions in the functioning of a structure and enable quicker recovery, if feasible. This paper employed methods that directly processed data from a continuous monitoring system, which reduced computational workload. It eliminated the need to extract modal characteristics of the system from the acquired data and provided almost instant feedback on changes in dynamic behaviour. These aspects are crucial for developing sustainable monitoring practices that are both cost-effective and timely.
2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/353432
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