Modal flexibility-based methods are effective tools for vibration-based structural damage detection, including in the output-only case. These methods are typically characterized by two stages: first, the modal parameters are identified, thus obtaining a certain number of modes; second, these modal parameters are used to assemble the modal flexibility matrix. This paper proposes a method for estimating a matrix that approximates a proportional flexibility matrix, termed proportional flexibility-resembling (PFR) matrix, and shows that this matrix can be used for damage detection and localization purposes. This matrix is obtained through signal processing operations to be executed after applying the first steps of the frequency-domain decomposition (FDD) technique—i.e., after the singular value decomposition of the spectral density matrix. The defining aspect of the PFR matrix is that, differently from the traditional formulation of modal flexibility and proportional flexibility matrices, it can be assembled without the need of an explicit identification of the modal parameters. In fact, the matrix is estimated by processing all first singular vectors and also all first singular values in a selected frequency range. In the proposed method, the typical two stage approach of traditional modal flexibility methods is avoided, and the intervention of an operator is limited to setting the values of a few parameters in the initial phase of the process. Numerical simulations and experimental data from a testbed structure were used to show the effectiveness of the proposed approach, and the analyses were performed by considering structures with different damage scenarios and damping properties.

Calidori A., Bernagozzi G., Castellaro S., Landi L., Diotallevi P.P. (2024). An FDD-based modal parameter-less proportional flexibility-resembling matrix for response-only damage detection. JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 14, 401-429 [10.1007/s13349-023-00716-2].

An FDD-based modal parameter-less proportional flexibility-resembling matrix for response-only damage detection

Bernagozzi G.
;
Castellaro S.;Landi L.;Diotallevi P. P.
2024

Abstract

Modal flexibility-based methods are effective tools for vibration-based structural damage detection, including in the output-only case. These methods are typically characterized by two stages: first, the modal parameters are identified, thus obtaining a certain number of modes; second, these modal parameters are used to assemble the modal flexibility matrix. This paper proposes a method for estimating a matrix that approximates a proportional flexibility matrix, termed proportional flexibility-resembling (PFR) matrix, and shows that this matrix can be used for damage detection and localization purposes. This matrix is obtained through signal processing operations to be executed after applying the first steps of the frequency-domain decomposition (FDD) technique—i.e., after the singular value decomposition of the spectral density matrix. The defining aspect of the PFR matrix is that, differently from the traditional formulation of modal flexibility and proportional flexibility matrices, it can be assembled without the need of an explicit identification of the modal parameters. In fact, the matrix is estimated by processing all first singular vectors and also all first singular values in a selected frequency range. In the proposed method, the typical two stage approach of traditional modal flexibility methods is avoided, and the intervention of an operator is limited to setting the values of a few parameters in the initial phase of the process. Numerical simulations and experimental data from a testbed structure were used to show the effectiveness of the proposed approach, and the analyses were performed by considering structures with different damage scenarios and damping properties.
2024
Calidori A., Bernagozzi G., Castellaro S., Landi L., Diotallevi P.P. (2024). An FDD-based modal parameter-less proportional flexibility-resembling matrix for response-only damage detection. JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 14, 401-429 [10.1007/s13349-023-00716-2].
Calidori A.; Bernagozzi G.; Castellaro S.; Landi L.; Diotallevi P.P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/949666
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