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

Ling Zhao

Ling Zhao

  • School of Information Science and Engineering, Chongqing Jiaotong Universitychongqing, China
  • State Key Laboratory of Bridge Engineering Structural Dynamics, China Merchants Chongqing Communication Research & Design Institute Co., LtdChongqing, China
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Zhao, Ling
, 
Pan Li

Pan Li

School of Information Science and Engineering, Chongqing Jiaotong Universitychongqing, China
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Li, Pan
 e 
Haiming Liu

Haiming Liu

State Key Laboratory of Bridge Engineering Structural Dynamics, China Merchants Chongqing Communication Research & Design Institute Co., LtdChongqing, China
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Liu, Haiming
  
19 ott 2021
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Pubblicato online: 19 ott 2021
Pagine: 187 - 194
Ricevuto: 19 mar 2021
Accettato: 10 mag 2021
DOI: https://doi.org/10.2478/amns.2021.2.00035
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© 2023 Ling Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Deflection signals in the time domain.
Deflection signals in the time domain.

Fig. 2

Deflection signal scale index.
Deflection signal scale index.

Fig. 3

Generalized Hurst index for deflection signals.
Generalized Hurst index for deflection signals.

Fig. 4

Multi-fractal spectrum of bridge deflection signal.
Multi-fractal spectrum of bridge deflection signal.
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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