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Author:

Jing, Peng (Jing, Peng.) | Song, Xintong (Song, Xintong.) | Shen, Yupeng (Shen, Yupeng.) | Zhang, Li (Zhang, Li.) | Zhang, Yaqi (Zhang, Yaqi.) | Wang, Pengcheng (Wang, Pengcheng.)

Indexed by:

Scopus SCIE

Abstract:

Unsaturated aeolian sand is the main railway/highway sandy subgrade filling material in the desert area of Alashan, Inner Mongolia. In recent years, the extreme climate events frequently happen in Inner Mongolia. Under the extreme rainfall conditions in the desert area, the rainfall infiltration process and the unsaturated state evolution of aeolian sand subgrade is significant to the hydraulic behavior distribution and the deformation development under traffic loading. In this study, the SWCC (soil-water characteristic curve) parameters of aeolian sand was firstly calculated and discussed through van Genuchten model and the linear approach. Then a unified framework was proposed to describe the hydraulic behavior evolution of aeolian sand subgrade under extreme rainfall. Considering the effect of soil properties and rainfall conditions on infiltration process of aeolian sand subgrade, a normalized SWCC model was established. An analytical model of maximum infiltration depth for aeolian sand subgrade affected by extreme rainfall was further developed. Lastly, the numerical simulation results of the maximum infiltration depth for aeolian sand subgrade under an extreme rainfall event verified the correctness of the analytical model. This research can lay a foundation for studying the hydro-mechanical coupling behavior of sandy subgrade in desert areas.

Keyword:

Aeolian sand Extreme rainfall Analytical model Subgrade soil Infiltration depth

Author Community:

  • [ 1 ] [Jing, Peng]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Song, Xintong]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Yaqi]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Shen, Yupeng]Beijing Jiaotong Univ, Beijing 100044, Peoples R China
  • [ 5 ] [Zhang, Li]Baotou Railway Vocat & Tech Coll, Baotou 014060, Inner Mongolia, Peoples R China
  • [ 6 ] [Wang, Pengcheng]China Acad Railway Sci Corp Ltd, Beijing 100081, Peoples R China

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Source :

TRANSPORTATION GEOTECHNICS

ISSN: 2214-3912

Year: 2023

Volume: 42

5 . 3 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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