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Chinese Academy of Sciences Institutional Repositories Grid
Long-term floor heave analysis of loess tunnel based on modified Green-Ampt infiltration model

文献类型:期刊论文

作者Chang, Zhou2,4; Yan, Changgen2,4; Yin, Peijie2,4; Lan, Hengxing1,3; Bao, Han2,4
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2025-12-01
卷号22期号:12页码:4574-4594
关键词Loess tunnel Floor heave Green-Ampt model Repeated infiltration Sensitivity analysis Loess Plateau
ISSN号1672-6316
DOI10.1007/s11629-025-9573-8
产权排序2
文献子类Article
英文摘要Floor heave is a common water-induced issue of loess tunnels. However, the mechanism of tunnel floor heave induced by repeated rainfall or irrigation remains poorly understood. This study analyzes moisture variation at the tunnel base and invert deformation through a 15-year survey of an operational loess tunnel. An improved Green-Ampt model was developed to capture the effects of interannual repeated infiltration on water content, permeability, and matric suction at the tunnel base. The model was validated using soil column infiltration tests. The calculated wetting front depth was incorporated into the tunnel numerical simulation to analyze the development of floor heave and assess its several influencing factors. Results show the base average water content at the tunnel base increases exponentially with operational years. After 15 years, over 50% of the monitored sections reach saturation, leading to significant invert uplift. Based on the plastic limit, saturation water content, and liquid limit of loess, floor heave is categorized into four levels with deformation thresholds at 10, 25, and 50 mm. The modified Green-Ampt model is suitable for repeated infiltration conditions and offers practical guidance. Neglecting hydraulic deterioration due to repeated infiltration may lead to significant prediction errors. Numerical simulations reveal that the inverted arch uplift height, width, and height-to-width ratio increase linearly with the rise in the number of infiltration events. The uplift deformation follows Gaussian distribution in both cross and longitudinal sections, forming a Lambda-shaped floor heave. The influence of infiltration duration, water content, horizontal infiltration, asymmetric infiltration, burial depth, and the number of infiltration events enhanced successively on floor heave. This model facilitates the prediction of floor heave under dynamic hydrological conditions during long-term tunnel operation.
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WOS关键词CRACKING ; WALL
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001645391200011
出版者SCIENCE PRESS
源URL[http://ir.igsnrr.ac.cn/handle/311030/219386]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Yan, Changgen
作者单位1.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Peoples R China;
2.Changan Univ, Sch Highway, Xian 710064, Peoples R China;
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;
4.Xian Key Lab Geotech Engn Green & Intelligent Tran, Xian 710064, Peoples R China
推荐引用方式
GB/T 7714
Chang, Zhou,Yan, Changgen,Yin, Peijie,et al. Long-term floor heave analysis of loess tunnel based on modified Green-Ampt infiltration model[J]. JOURNAL OF MOUNTAIN SCIENCE,2025,22(12):4574-4594.
APA Chang, Zhou,Yan, Changgen,Yin, Peijie,Lan, Hengxing,&Bao, Han.(2025).Long-term floor heave analysis of loess tunnel based on modified Green-Ampt infiltration model.JOURNAL OF MOUNTAIN SCIENCE,22(12),4574-4594.
MLA Chang, Zhou,et al."Long-term floor heave analysis of loess tunnel based on modified Green-Ampt infiltration model".JOURNAL OF MOUNTAIN SCIENCE 22.12(2025):4574-4594.

入库方式: OAI收割

来源:地理科学与资源研究所

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