Continuous monitoring based on vibrational identification methods is increasingly employed with the aim of evaluating the state of health of existing structures and infrastructures and the performance of safety interventions over time. In case of earthquakes, data acquired by means of continuous monitoring systems can be used to detect and localize a possible damage occurred on a monitored structure using appropriate algorithms based on the variations of structural parameters. Most of the damage identification methods are based on the variations of damage indices defined in terms modal and/or non-modal parameters. In this work results retrieved from the application of two damage localization methods based on the detection of curvature variation are compared. In this paper the two methods have been applied using numerical data retrieved from nonlinear FE models subjected to a damaging seismic excitation.

Comparison of the performance of two different approaches for damage detection on framed structures

IACOVINO, CHIARA;DITOMMASO, ROCCO;PONZO, Felice Carlo
2016-01-01

Abstract

Continuous monitoring based on vibrational identification methods is increasingly employed with the aim of evaluating the state of health of existing structures and infrastructures and the performance of safety interventions over time. In case of earthquakes, data acquired by means of continuous monitoring systems can be used to detect and localize a possible damage occurred on a monitored structure using appropriate algorithms based on the variations of structural parameters. Most of the damage identification methods are based on the variations of damage indices defined in terms modal and/or non-modal parameters. In this work results retrieved from the application of two damage localization methods based on the detection of curvature variation are compared. In this paper the two methods have been applied using numerical data retrieved from nonlinear FE models subjected to a damaging seismic excitation.
2016
9781510827936
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11563/127207
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