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Health monitoring of Bridges based on multifractal theory

Ling Zhao

Ling Zhao

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

Jiawei Ding

School of Information Science and Engineering, Chongqing Jiaotong UniversityChongqing,
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Ding, Jiawei
 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: 177 - 186
Ricevuto: 19 mar 2021
Accettato: 29 mag 2021
DOI: https://doi.org/10.2478/amns.2021.2.00036
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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

Flow chart of bridge health monitoring algorithm
Flow chart of bridge health monitoring algorithm

Fig. 2

Bridge disturbance signal.
Bridge disturbance signal.

Fig. 3

Local signal of bridge disturbance.
Local signal of bridge disturbance.

Fig. 4

Local signal of bridge disturbance.
Local signal of bridge disturbance.

Fig. 5

Logarithmic graph of box dimension.
Logarithmic graph of box dimension.

Fig. 6

Logarithmic graph of correlation dimension.
Logarithmic graph of correlation dimension.

Fig. 7

Singularity exponential curve of bridge disturbance data.
Singularity exponential curve of bridge disturbance data.

Fig. 8

Quality index curve of bridge disturbance data.
Quality index curve of bridge disturbance data.

Fig. 9

Multifractal spectrum of bridge disturbance data.
Multifractal spectrum of bridge disturbance data.
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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