Aim of this paper is the description and the comparison of two Structural Health Monitoring (SHM) techniques to identify a structural damage of a tower crane. First technique considers the natural frequencies and the mode shapes. Consequently, the damage is localized and quantified exploiting well-known techniques, implemented in a Multi-Level Damage Identification Platform (MuDI). The second approach considers the displacement of some points of the crane due to the excitation of a running load. In this case, Continuous Wavelet Transform (CWT) is performed and, by analyzing the CWT coefficients, only the damage position is identified. This second approach requires few sensors and optimizes cost that is a relevant parameter in operational conditions. The obtained results of these two techniques are compared, together with their efficiency.

Multi-level damage identification in operational condition / Milana, S.; Acunzo, G.; Gabriele, S.; Culla, A.; Argento, G. R.. - (2018), pp. 3849-3858. (Intervento presentato al convegno 28th International conference on noise and vibration engineering, ISMA 2018 and 7th International conference on uncertainty in structural dynamics, USD 2018 tenutosi a Leuven, Belgium).

Multi-level damage identification in operational condition

Milana S.
;
Culla A.;
2018

Abstract

Aim of this paper is the description and the comparison of two Structural Health Monitoring (SHM) techniques to identify a structural damage of a tower crane. First technique considers the natural frequencies and the mode shapes. Consequently, the damage is localized and quantified exploiting well-known techniques, implemented in a Multi-Level Damage Identification Platform (MuDI). The second approach considers the displacement of some points of the crane due to the excitation of a running load. In this case, Continuous Wavelet Transform (CWT) is performed and, by analyzing the CWT coefficients, only the damage position is identified. This second approach requires few sensors and optimizes cost that is a relevant parameter in operational conditions. The obtained results of these two techniques are compared, together with their efficiency.
2018
28th International conference on noise and vibration engineering, ISMA 2018 and 7th International conference on uncertainty in structural dynamics, USD 2018
damage detection; mode shape; wavelet transform
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Multi-level damage identification in operational condition / Milana, S.; Acunzo, G.; Gabriele, S.; Culla, A.; Argento, G. R.. - (2018), pp. 3849-3858. (Intervento presentato al convegno 28th International conference on noise and vibration engineering, ISMA 2018 and 7th International conference on uncertainty in structural dynamics, USD 2018 tenutosi a Leuven, Belgium).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1387348
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