Structural Health Monitoring (SHM) methods based on Modal Tracking (MT) of dynamic parameters (main frequencies, mode shapes and modal damping), enable today the control of operative conditions of both structures and infrastructures. Considering the need of continuous monitoring systems to process large datasets, in the last decades many efforts have been done to set-up Automated Operational Modal Analysis (A-OMA) procedures. Among all automated procedures, this paper describes a new automated one used to extract and track modal properties directly from the recorded dynamic signals. Its application over three heritage structures is described with the goal to show the effectiveness of this operative automated workflow for MT of damage sensitive features in a data-driven Continuous Structural Heath Monitoring (CSHM) approach.

A quality-based framework for data-driven SHM of heritage buildings / Zini, G.; Bartoli, G.; Betti, M.; Marafini, F.. - ELETTRONICO. - (2022), pp. 1-4. ((Intervento presentato al convegno The sixth Workshop on Complexity in Engineering COMPENG 2022 tenutosi a Firenze [10.1109/COMPENG50184.2022.9905472].

A quality-based framework for data-driven SHM of heritage buildings

Zini, G.;Bartoli, G.;Betti, M.
;
Marafini, F.
2022

Abstract

Structural Health Monitoring (SHM) methods based on Modal Tracking (MT) of dynamic parameters (main frequencies, mode shapes and modal damping), enable today the control of operative conditions of both structures and infrastructures. Considering the need of continuous monitoring systems to process large datasets, in the last decades many efforts have been done to set-up Automated Operational Modal Analysis (A-OMA) procedures. Among all automated procedures, this paper describes a new automated one used to extract and track modal properties directly from the recorded dynamic signals. Its application over three heritage structures is described with the goal to show the effectiveness of this operative automated workflow for MT of damage sensitive features in a data-driven Continuous Structural Heath Monitoring (CSHM) approach.
2022 IEEE Workshop on Complexity in Engineering (COMPENG)
The sixth Workshop on Complexity in Engineering COMPENG 2022
Firenze
Zini, G.; Bartoli, G.; Betti, M.; Marafini, F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1285482
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