Damage Identification of Prefabricated Reinforced Concrete Box Culvert Based on Improved Fuzzy Clustering Algorithm and Acoustic Emission Parameters

Prefabricated box culvert is a new structure in road engineering, whose health is very important to road safety. The use of acoustic emission (AE) as a detection method and the use of other improved algorithms to evaluate the damage of prefabricated box culverts are still insufficient. In this paper...

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Veröffentlicht in:Advances in materials science and engineering Jg. 2021; H. 1
Hauptverfasser: Gong, Yafeng, Lin, Siyuan, He, Feng, He, Yang, Song, Jiaxiang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Hindawi 2021
John Wiley & Sons, Inc
Wiley
Schlagworte:
Acoustic emission
Acoustics
Algorithms
Clustering
Concrete
Cracks
Culverts
Damage assessment
Damage detection
Data analysis
Dimensional analysis
Experiments
Hydraulics
Identification
Load
Methods
Noise
Parameters
Prefabrication
Reinforced concrete
Road engineering
Sensors
Traffic safety
Beijing China
ISSN:1687-8434, 1687-8442
Online-Zugang:Volltext
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Abstract Prefabricated box culvert is a new structure in road engineering, whose health is very important to road safety. The use of acoustic emission (AE) as a detection method and the use of other improved algorithms to evaluate the damage of prefabricated box culverts are still insufficient. In this paper, two kinds of prefabricated box culverts are tested and studied, and the damage process of the box culverts is analysed based on the AE parameters of the box culvert using the traditional fuzzy C-means method (FCM). In addition, an improved algorithm based on the combination of grid density and distance (G-DFCM) was proposed, which was simulated and applied to the AE data analysis of the prefabricated box culvert. The research results show that the application effect of the G-DFCM algorithm is good, which not only overcomes the shortcomings of the original algorithm but also improves the effectiveness of the algorithm. This work can provide a supplement to the damage identification of fabricated box culverts.
AbstractList Prefabricated box culvert is a new structure in road engineering, whose health is very important to road safety. The use of acoustic emission (AE) as a detection method and the use of other improved algorithms to evaluate the damage of prefabricated box culverts are still insufficient. In this paper, two kinds of prefabricated box culverts are tested and studied, and the damage process of the box culverts is analysed based on the AE parameters of the box culvert using the traditional fuzzy C-means method (FCM). In addition, an improved algorithm based on the combination of grid density and distance (G-DFCM) was proposed, which was simulated and applied to the AE data analysis of the prefabricated box culvert. The research results show that the application effect of the G-DFCM algorithm is good, which not only overcomes the shortcomings of the original algorithm but also improves the effectiveness of the algorithm. This work can provide a supplement to the damage identification of fabricated box culverts.
Author He, Feng
Gong, Yafeng
Lin, Siyuan
Song, Jiaxiang
He, Yang
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  surname: Lin
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  orcidid: 0000-0003-3961-9735
  surname: Song
  fullname: Song, Jiaxiang
  organization: College of TransportationJilin UniversityChangchun 130025Chinajlu.edu.cn
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Snippet Prefabricated box culvert is a new structure in road engineering, whose health is very important to road safety. The use of acoustic emission (AE) as a...
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SubjectTerms Acoustic emission
Acoustics
Algorithms
Clustering
Concrete
Cracks
Culverts
Damage assessment
Damage detection
Data analysis
Dimensional analysis
Experiments
Hydraulics
Identification
Load
Methods
Noise
Parameters
Prefabrication
Reinforced concrete
Road engineering
Sensors
Traffic safety
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Title Damage Identification of Prefabricated Reinforced Concrete Box Culvert Based on Improved Fuzzy Clustering Algorithm and Acoustic Emission Parameters
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Volume 2021
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