Revealing the mechanisms of water permeability enhancement of urban loess subgrades due to vibration application
Urban loess subgrades are affected by considerable vibrations from traffic, especially when the underground pipelines leak, and seepage under vibrations often causes road damage. However, the influence of vibrations on the water permeability of loess subgrades remains elusive. Here the authors address this issue by performing vibration-assisted permeability tests and scanning electron microscopy, mercury intrusion porosimetry, and suction–nuclear magnetic resonance measurements. This allowed the evolution of the saturated hydraulic conductivity (Ks), water-air migration, soil microstructure, and pore water forms to be evaluated. The water permeability of the loess subgrade is promoted by vibrations due to the increase in Ks, the acceleration of wet front migration, and the escape of entrapped air. Moreover, the value of Ks under vibration is 3–14 times greater than that without vibration, and the maximum increase occurs at a vibration frequency near the natural frequency of the loess. Furthermore, a theoretical framework of loess vibration permeability is proposed, and the mechanisms by which vibration accelerates the permeability behavior of the loess subgrade are revealed. Vibration promotes the expansion of soil pores, a decrease in the binding capacity of pore water, the mobilization of fine particles, and the formation of local low-permeability layer. Moreover, it accelerates the opening of entrapped air bubbles and the displacement of water-air, the reduction in seepage resistance. Thus, seepage water flows rapidly along infiltration channels. These findings are highly important for the road safety performance and the sustainable development of the traffic environment in loess regions.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22143912
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Supplemental Notes:
- © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
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Authors:
- Liu, Kuan
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0000-0002-2603-129X
- Ye, Wanjun
- Sun, Xueyang
- Dang, Faning
- He, Mingming
- Duan, Zhao
- Ma, Jianquan
- Nan, Jingjing
- Zheng, Ruihui
- Wang, Quanjiu
- Publication Date: 2024-9
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: 101346
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Serial:
- Transportation Geotechnics
- Volume: 48
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2214-3912
- Serial URL: http://www.sciencedirect.com/science/journal/22143912
Subject/Index Terms
- TRT Terms: Loess; Permeability; Pipelines; Soil structure interaction; Subgrade materials; Urban areas
- Geographic Terms: China
- Subject Areas: Geotechnology; Maintenance and Preservation; Pipelines;
Filing Info
- Accession Number: 01931849
- Record Type: Publication
- Files: TRIS
- Created Date: Sep 25 2024 9:22AM