À propos de cet article
Publié en ligne: 19 oct. 2021
Pages: 177 - 186
Reçu: 19 mars 2021
Accepté: 29 mai 2021
DOI: https://doi.org/10.2478/amns.2021.2.00036
Mots clés
© 2023 Ling Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
The multifractal theory is applied in an analysis of bridge disturbance signals with the aim of investigating their nonlinear characteristics, and then the recognisable fault features are extracted from them. By calculating the box dimension and correlation dimension of the bridge disturbance signal, the dimensional characteristics of the disturbance data are analysed to distinguish the health-state of the bridge. Finally, taking the bridge disturbance data as an example, and by using the multifractal spectrum analysis of the disturbance data, it is concluded that the multifractal method can accurately identify the fault state and realise the bridge health monitoring.