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

Autor: Zhao Ling, Li Pan, Liu Haiming
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 187-194 (2023)
Druh dokumentu: article
ISSN: 2444-8656
DOI: 10.2478/amns.2021.2.00035
Popis: 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.
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