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[1]马义安*,雷 赟,汤浩杰,等.考虑土体初始体积含水率空间变异性的边坡降雨入渗模型及其稳定性[J].地球科学与环境学报,2025,47(03):344-355.[doi:10.19814/j.jese.2024.09048]
　MA Yi-an*,LEI Yun,TANG Hao-jie,et al.Rainfall Infiltration Model and Stability of Slopes Considering Spatial Variability of Initial Volumetric Water Content in Soil[J].Journal of Earth Sciences and Environment,2025,47(03):344-355.[doi:10.19814/j.jese.2024.09048]
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第47卷
期数:
2025年第03期
页码:
344-355
栏目:
黄河流域生态保护和高质量发展专刊(上)
出版日期:
2025-05-15

文章信息/Info

Title:
Rainfall Infiltration Model and Stability of Slopes Considering Spatial Variability of Initial Volumetric Water Content in Soil
文章编号:
1672-6561(2025)03-0344-12
作者:
马义安1*; 雷 赟2; 汤浩杰3; 胡志平4; 刘一震2; 姚懿德2; 李 永5
(1.西成铁路客运专线陕西有限责任公司,陕西 西安 710043; 2.中国铁建大桥工程局集团有限公司,天津 300300; 3.中铁城市发展投资集团有限公司,四川 成都 610213; 4.长安大学 建筑工程学院,陕西 西安 710061; 5.陕西国铁工程咨询管理有限公司,陕西 西安 710038)
Author(s):
MA Yi-an1*;  LEI Yun2;  TANG Hao-jie3;  HU Zhi-ping4;  LIU Yi-zhen2;  YAO Yi-de2;  LI Yong5
(1.Xi'an-Chengdu Railway Passenger Dedicated Line Shaanxi Co.,Ltd.,Xi'an 710043,Shaanxi,China; 2.China Railway Construction Bridge Engineering Bureau Group Co.,Ltd.,Tianjin 300300,China; 3.China Railway City Development and Investment Group Co.,Ltd.,Chengdu 610213,Sichuan,China; 4.School of Civil Engineering,Chang'an University,Xi'an 710061,Shaanxi,China; 5.Shaanxi National Railway Engineering Consulting Management Co.,Ltd.,Xi'an 710038,Shaanxi,China)
关键词:
边坡;  降雨入渗;  修正Green-Ampt模型;  体积含水率;  稳定性;  湿润峰;  渗流
Keywords:
slope;  rainfall infiltration;  modified Green-Ampt model;  volumetric water content;  stability;  wetting front;  seepage
分类号:
TU44
DOI:
10.19814/j.jese.2024.09048
文献标志码:
A
摘要:
边坡降雨入渗分析对降雨型滑坡的预测与防范至关重要。经典Green-Ampt(GA)模型意义明确且参数较少,在降雨入渗分析中得到广泛应用,但该方法不能有效分析考虑体积含水率空间变异性的边坡降雨入渗问题。针对以上不足,综合考虑坡体初始体积含水率空间变异性以及入渗过程中饱和层渗流作用及气体压力影响,建立了适用于不同强度降雨工况的修正GA模型(简称为“SR-GA模型”),并构建了相应的稳定性系数计算表达式。结果表明:SR-GA模型采用变步长复化Cotes法求解,求解过程简便,且其计算结果与既有解析解及数值计算结果基本吻合,表明模型合理可靠; 相比其他既有模型,SR-GA模型适用范围更广,普适性明显提高; 初始体积含水率对湿润峰入渗影响显著,不同分布形式下入渗规律差异明显,表现为梯形型和指数型分布形式下入渗深度随时间呈非线性增大,均布型分布则为线性变化; 初始体积含水率是影响边坡失稳时机的关键因素,非均布型分布形式下稳定性系数降幅明显,且失稳时间较均布型分布大幅度提前。
Abstract:
Rainfall infiltration analysis in slopes plays a crucial role in predicting and preventing rainfall-induced landslides. While the classical Green-Ampt(GA)model with its clear physical significance and minimal parameters has been widely adopted for infiltration analysis, it fails to adequately address slope infiltration problems involving spatial variability of volumetric water content. To overcome this limitation, a modified GA model, called SR-GA model, was developed to diverse rainfall infiltration scenarios by comprehensively considering the spatial variability of initial volumetric water content, coupled with saturated layer seepage and air pressure effects during infiltration; a corresponding stability coefficient calculation framework was established. The results show that the SR-GA model, solved using the variable-step composite Cotes method, achieves computational simplicity while maintaining good agreement with existing analytical solutions and numerical simulations, confirming its validity; compared with conventional models, the SR-GA model exhibits enhanced universality and broader applicability; the spatial distribution pattern of initial volumetric water content significantly influences wetting front advancement, with trapezoidal and exponential distributions showing nonlinear depth-time relationships, contrasting with the linear progression under uniform distribution; as a critical factor determining slope failure timing, non-uniform water content distributions lead to markedly reduce stability coefficients and substantially earlier failure occurrences compared to homogeneous conditions.

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备注/Memo

备注/Memo:
收稿日期:2024-09-29; 修回日期:2025-03-09
基金项目:国家自然科学基金项目(41877285); 西成铁路客运专线陕西有限责任公司科技研究重点开发计划项目(2021-41)
*通信作者:马义安(1973-),男,陕西西安人,高级工程师,E-mail:1637159573@qq.com。
通信作者:胡志平(1973-),男,湖南益阳人,教授,博士研究生导师,工学博士,E-mail:huzhping@chd.edu.cn。
更新日期/Last Update: 2025-06-20