<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

Health monitoring of Bridges based on multifractal theory

State Key Laboratory of Bridge Engineering Structural Dynamics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Health monitoring of Bridges based on multifractal theory"}

The multifractal theory is applied in an analysis of bridge disturbance signals with the aim of investigating their nonlinear characteristics, and then the...

Health monitoring of Bridges based on multifractal theory

Online veröffentlicht: 19. Okt. 2021

Seitenbereich: 177 - 186

Eingereicht: 19. März 2021

Akzeptiert: 29. Mai 2021

DOI: https://doi.org/10.2478/amns.2021.2.00036

Schlüsselwörter
box dimension, Correlation dimension, Bridge health monitoring, Multifractal spectrum

© 2023 Ling Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Health monitoring of Bridges based on multifractal theory

Online veröffentlicht: 19. Okt. 2021

Seitenbereich: 177 - 186

Eingereicht: 19. März 2021

Akzeptiert: 29. Mai 2021

DOI: https://doi.org/10.2478/amns.2021.2.00036

Schlüsselwörterbox dimension, Correlation dimension, Bridge health monitoring, Multifractal spectrum

© 2023 Ling Zhao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
box dimension, Correlation dimension, Bridge health monitoring, Multifractal spectrum