- Volumes 84-95 (2024)
-
Volumes 72-83 (2023)
-
Volume 83
Pages 1-258 (December 2023)
-
Volume 82
Pages 1-204 (November 2023)
-
Volume 81
Pages 1-188 (October 2023)
-
Volume 80
Pages 1-202 (September 2023)
-
Volume 79
Pages 1-172 (August 2023)
-
Volume 78
Pages 1-146 (July 2023)
-
Volume 77
Pages 1-152 (June 2023)
-
Volume 76
Pages 1-176 (May 2023)
-
Volume 75
Pages 1-228 (April 2023)
-
Volume 74
Pages 1-200 (March 2023)
-
Volume 73
Pages 1-138 (February 2023)
-
Volume 72
Pages 1-144 (January 2023)
-
Volume 83
-
Volumes 60-71 (2022)
-
Volume 71
Pages 1-108 (December 2022)
-
Volume 70
Pages 1-106 (November 2022)
-
Volume 69
Pages 1-122 (October 2022)
-
Volume 68
Pages 1-124 (September 2022)
-
Volume 67
Pages 1-102 (August 2022)
-
Volume 66
Pages 1-112 (July 2022)
-
Volume 65
Pages 1-138 (June 2022)
-
Volume 64
Pages 1-186 (May 2022)
-
Volume 63
Pages 1-124 (April 2022)
-
Volume 62
Pages 1-104 (March 2022)
-
Volume 61
Pages 1-120 (February 2022)
-
Volume 60
Pages 1-124 (January 2022)
-
Volume 71
- Volumes 54-59 (2021)
- Volumes 48-53 (2020)
- Volumes 42-47 (2019)
- Volumes 36-41 (2018)
- Volumes 30-35 (2017)
- Volumes 24-29 (2016)
- Volumes 18-23 (2015)
- Volumes 12-17 (2014)
- Volume 11 (2013)
- Volume 10 (2012)
- Volume 9 (2011)
- Volume 8 (2010)
- Volume 7 (2009)
- Volume 6 (2008)
- Volume 5 (2007)
- Volume 4 (2006)
- Volume 3 (2005)
- Volume 2 (2004)
- Volume 1 (2003)
• Dynamic variation of ballast moisture content under rainfall is determined.
• Real-time monitoring of ballast particle movement with wireless particle sensor is done.
• Macro-microscopic characteristics of ballast bed under various moisture contents are investigated.
Due to the excellent drainage performance of the ballast, existing studies mainly focus on the dynamic response of ballast under field capacity or saturation. Attention has rarely been paid to dynamic changes in moisture content and potential influences. In this article, we firstly conduct a model test to determine the variation of ballast moisture content under artificial rainfall. After that, a full-scale model test with cyclic loading is carried out to study the effect of moisture content variation on the macro-microscopic response of the ballast bed, where several wireless particle sensors are installed to obtain ballast motion characteristics at strategic locations. The results show that the moisture content increases gradually and stabilizes at a flat peak under rainfall, despite the excellent drainage performance of ballast bed. After halting rainfall, the moisture content drops back to field capacity, which indicates dynamic flowing surface water on ballast particles under rainfall. Such flowing surface water brings changes to the original dynamic equilibrium of ballast bed: macroscopically, the deformation rate of stabilized ballast bed increases significantly, reaching a local peak under field capacity; microscopically, the x- and z-angular accelerations of the ballast show positive correlation with rainfall intensity. The multiscale responses indicate that field capacity is a critical moisture content.