极端降雨天气对浅基础地基承载力影响特性研究

doi:10.16046/j.cnki.issn2096-5680.2025.01.009

河北水利电力学院学报 ›› 2025, Vol. 35 ›› Issue (1): 52-57.DOI: 10.16046/j.cnki.issn2096-5680.2025.01.009

极端降雨天气对浅基础地基承载力影响特性研究

刘广学^1,2, 刘建秀^1,2, 龚云强³, 张培成^2,4

1.河北水利电力学院土木工程系,河北省沧州市黄河西路49号 061001;
2.河北省岩土工程安全与变形控制重点实验室;河北省沧州市黄河西路49号 061001;
3.中国市政工程华北设计研究总院有限公司,天津市南开区卫津南路西侧星城33号楼 300074;
4.河北水利电力学院交通工程系,河北省沧州市黄河西路49号 061001

收稿日期:2024-03-06 修回日期:2024-05-01 出版日期:2025-03-31 发布日期:2025-04-16
通讯作者: 张培成(1970-),男,河北沧州人,副教授,研究方向为岩土工程。E-mail:763492368@qq.com
作者简介:刘广学(1988-),男,河北沧州人,硕士研究生,讲师,主要从事岩土工程的教学与科研工作。E-mail:930045891@qq.com
基金资助:
河北省省属高校基本科研业务费(SYKY2118);沧州市重点研发计划指导项目(213109015)

Research on the Influence of Extreme Rainfall Weather on the Bearing Capacity of Shallow Foundations

LIU Guangxue^1,2, LIU Jianxiu^1,2, GONG Yunqiang³, ZHANG Peicheng^2,4

1. Department of Civil Engineering, Hebei University of Water Resources and Electric Engineering, 061001, Cangzhou, Hebei, China;
2. Hebei Key Laboratory of Geotechnical Engineering Safety and Deformation Control, 061001, Cangzhou, Hebei, China;
3. North China Municipal Engineering China Design & Research Institute Co., Ltd., 300074, Tianjin, China;
4. Department of Transportation Engineering, Hebei University of Water Resources and Electric Engineering, 061001, Cangzhou, Hebei, China

Received:2024-03-06 Revised:2024-05-01 Online:2025-03-31 Published:2025-04-16

摘要/Abstract

摘要： 针对极端降雨天气对浅基础地基承载力的影响,利用室内载荷试验和理论分析开展了不同降雨强度下浅基础地基的承载特性研究。研究表明:随着降雨强度的增大地基承载力下降显著,特大暴雨条件下承载力最大损失可达51.65%,降雨强度带来的承载力降低前期呈线性下降,在降雨强度达到大暴雨的时候出现承载力的陡降现象,之后的变化趋势与陡降前斜率相近。采用斜率法对浅基础地基承载力实测数据进行处理,斜率法得到的承载力随着降雨强度的增大整体呈下降趋势与实测法类似但斜率不同,其得到承载力普遍小于实测法且差值随降雨强度越来越小,最大处位于无雨时相差12.5%,从工程角度来说这种处理方法偏于安全。对浅基础地基承载力进行处理和预测,发现双曲线法其结果能呈现较好的线性拟合度,其承载力随降雨强度的变化曲线与实测法得到的趋势非常接近,可采用线性拟合对其修正从而得到对应的实测曲线。文中试验条件下其线性拟合参数为0.865,可以依靠双曲线法预测极端降雨天气所引起的非均质地基承载力的增加和沉降的变化趋势,为在容易出现极端降雨天气的地区建造浅基础提供更安全的工程实践。

关键词: 极端降雨天气, 浅基础, 模型试验, 承载特性

Abstract: In view of the impact of extreme rainfall weather on the bearing capacity of shallow foundations, indoor load tests and theoretical analysis were used to conduct research on the bearing characteristics of shallow foundations under different rainfall intensities. Research shows that as the rainfall intensity increases, the bearing capacity of the foundation decreases significantly. The maximum bearing capacity loss under extremely heavy rainfall conditions can reach 51.65%. The bearing capacity reduction caused by rainfall intensity decreases linearly in the early stage. When the rainfall intensity reaches a heavy rainstorm, a steep drop in bearing capacity occurs, and the subsequent change trend does not change much from the slope before the steep drop. The slope method was used to process the measured data of shallow foundation bearing capacity. The overall downward trend of the bearing capacity obtained by the slope method is similar to that of the actual measurement method as the rainfall intensity increases, but the slope is different. The bearing capacity obtained is generally smaller than the actual measurement method, and the difference becomes smaller and smaller with rainfall intensity. The maximum difference is 12.5% when there is no rain. From an engineering perspective, this processing method is safer. In order to process and predict the bearing capacity of shallow foundations, it is found that the results of the hyperbolic method can show a good linear fitting degree, and the change curve of its bearing capacity with rainfall intensity is very close to the trend obtained by the actual measurement method. It can be corrected by linear fitting to obtain the corresponding measured curve. Under the conditions of this test, the linear fitting parameter is 0.865. The hyperbola method can be used to predict the increase in heterogeneous foundation bearing capacity and the change trend of settlement caused by extreme rainfall weather. The overall goal of the research is to provide safer engineering practices for building shallow foundations in areas prone to extreme rainfall weather.

Key words: extreme rainfall weather, shallow foundation, model test, bearing characteristics

中图分类号:

刘广学, 刘建秀, 龚云强, 张培成. 极端降雨天气对浅基础地基承载力影响特性研究[J]. 河北水利电力学院学报, 2025, 35(1): 52-57.

LIU Guangxue, LIU Jianxiu, GONG Yunqiang, ZHANG Peicheng. Research on the Influence of Extreme Rainfall Weather on the Bearing Capacity of Shallow Foundations[J]. Journal of Hebei University of Water Resources and Electric Engineering, 2025, 35(1): 52-57.

参考文献

[1] GREEN H. Studies on Soil Physics: Part II - The Permeability of an Ideal Soil to Air and Water[J].The Journal of Agricultural Science, 1912,5(1):1-26.
[2] 朱伟,陈学东,钟小春.降雨入渗规律的实测与分析[J].岩土力学,2006,27(11):1873-1879.
[3] 石生新.高强度人工降雨条件下影响入渗速率因素的试验研究[J].水土保持通报,1992,12(2):49-54.
[4] Tan X, Xie Y, Hou X, et al. Reliability Analysis of Shallow Foundations on Unsaturated Soils under Rainfall Infiltration[C]//Geo-Risk 2017.2017:588-597.
[5] 覃小华,刘东升,宋强辉,等.降雨条件下一维土柱垂直入渗模型试验研究及其渗透系数求解[J].岩石力学与工程学报,2017,36(2):475-484.
[6] 李亮,刘宝琛.降雨入渗条件下边坡极限承载力的分析[J].铁道学报,2002,24(4):109-113.
[7] 郑剑锋,马巍,赵淑萍,等.重塑土室内制样技术对比研究[J].冰川冻土,2008,30(3):494-500.
[8] 中华人民共和国水利部.土工试验方法标准:GB/T50123-2019[S].北京:中国计划出版社,2019.
[9] 柳飞.砂土地基承载力离心模型试验研究[D].青岛:中国海洋大学,2007.
[10] 杨俊杰.相似理论与结构模型试验[M].武汉:武汉工业大学出版社,2005.
[11] 孙昊月.堆载预压法处理软土地基沉降量预测研究[D].长春:吉林大学,2010.
[12] 国家气象中心.降水量等级:GB/T28592-2012[S].北京:中国标准出版社,2012.
[13] 林宗元.岩土工程试验监测手册[M].北京:中国建筑工业出版社,2005.
[14] 谢树彬,姬安宁,胜贤.用双曲线模拟载荷试验曲线方法探讨[J].岩土工程学报,1999,(6):707-710.
[15] Wiseman G, Zeitlen J G. Predicting the Settlement of the Texas A&M Spread Footings on Sand[J]. Predicted and Measured Behavior of Five Spread Footings on Sand, 1994:129-132.
[16] Thomas D. Spread Footing Prediction Event at the National Geotechnical Experimentation Site on the Texas A&M University Riverside Campus[C]//Predicted and Measured Behavior of Five Spread Footings on Sand. ASCE, 1994:149-152.

极端降雨天气对浅基础地基承载力影响特性研究

Research on the Influence of Extreme Rainfall Weather on the Bearing Capacity of Shallow Foundations

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