Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

October 19, 2021


Pages

187-194


DOI

Article

Health status diagnosis of the bridges based on multi-fractal de-trend fluctuation analysis

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Authors

Ling Zhao Affiliation:
School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing 400074
, Pan Li Affiliation:
School of Information Science and Engineering, Chongqing Jiaotong University, chongqing 400067, China
and Haiming Liu Affiliation:
State Key Laboratory of Bridge Engineering Structural Dynamics, China Merchants Chongqing Communication Research & Design Institute Co., Ltd, Chongqing, 400067, China


Abstract

More and more attention has been paid to the research on bridge structure health monitoring and state analysis technology, especially the theory and technology of time series analysis based on bridge deflection information. In this paper, multi-fractal de-trend analysis (MF-DFA) is used to analysis the deflection information of bridges. The deformation characteristic parameters can be obtained by the multi-fractal de-trend fluctuation method, which can effectively identify the deformation degree of bridges. The analysis result shows that the multi-fractal de-trend fluctuation analysis method provides the theoretical basis and implementation approach for the health monitoring of the bridge.


Keywords

deflection signal, Multi-fractal, De-trend analysis, health monitoring of bridge


Citation

Zhao, L., Li, P., & Liu, H. (2021). Health status diagnosis of the bridges based on multi-fractal de-trend fluctuation analysis. Applied Mathematics and Nonlinear Sciences, 6(2), 187–194. https://doi.org/10.2478/amns.2021.2.00035

Published by: Engineering Journals

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