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.

Milana, S., Acunzo, G., Gabriele, S., Culla, A., Argento, G.R. (2018). Multi-level damage identification in operational condition. In Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics (pp.3849-3858). KU Leuven - Departement Werktuigkunde.

Multi-level damage identification in operational condition

Acunzo, G.;Gabriele, S.
;
ARGENTO, Gloria Rita
2018-01-01

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
9789073802995
Milana, S., Acunzo, G., Gabriele, S., Culla, A., Argento, G.R. (2018). Multi-level damage identification in operational condition. In Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics (pp.3849-3858). KU Leuven - Departement Werktuigkunde.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/347390
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact