2017
DOI: 10.1007/978-3-319-61627-8_8
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of Railroad Ballast Field Degradation Using an Image Analysis Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 13 publications
0
1
0
Order By: Relevance
“…By comparing the results from the cyclic loading test on the ballast using a large-scale triaxial test apparatus with the full-scale laboratory test in the railway test facility (RTF), Aursudkij et al analyzed the permanent axial strains and particle size distribution under traffic loading [7]. Moaveni et al used an image analysis approach based on machine vision algorithms to assess ballast condition and degradation levels [8]. However, due to the structural characteristics of the ballasted track on the bridge, it is difficult to inspect the bridge deck and maintain the ballast bed.…”
Section: Introductionmentioning
confidence: 99%
“…By comparing the results from the cyclic loading test on the ballast using a large-scale triaxial test apparatus with the full-scale laboratory test in the railway test facility (RTF), Aursudkij et al analyzed the permanent axial strains and particle size distribution under traffic loading [7]. Moaveni et al used an image analysis approach based on machine vision algorithms to assess ballast condition and degradation levels [8]. However, due to the structural characteristics of the ballasted track on the bridge, it is difficult to inspect the bridge deck and maintain the ballast bed.…”
Section: Introductionmentioning
confidence: 99%