矩形桩水平承载力特性分析
Analysis on Horizontal Bearing Capacity Characteristics of Rectangular Piles
郑伟锋 1高文生 1杨宇哲 2倪芃芄 3张爱刚 4董宏源2
作者信息
- 1. 中国建筑科学研究院地基基础研究所,北京 100013
- 2. 中山大学土木工程学院,广州 510275
- 3. 中山大学土木工程学院,广州 510275;隧道工程灾变防控与智能建养全国重点实验室,广州 510275;南方海洋科学与工程广东省实验室(珠海),珠海 519082;广东省海洋土木工程重点实验室,广州 510275
- 4. 中交第三航务工程局有限公司海外事业部,上海 200032
- 折叠
摘要
桩基础因其良好的水平受力特性,在基坑开挖支护体系中被广泛应用.相较于等截面面积的圆桩,矩形桩具有更强的水平荷载抵抗能力.本研究采用数值分析方法,比较了具有等截面面积的矩形桩和圆桩的水平承载力,并定量分析了矩形桩的水平承载力特性,探究了不同长宽比和泥皮厚度等因素对矩形桩承载能力的影响.结果显示,在相同条件下,矩形桩的水平承载力提高了 12％以上.随着长宽比的增加,平均提升比率稳定在17％左右.然而,在存在泥皮的情况下,矩形桩的水平承载力低于没有泥皮的圆桩.因此,针对矩形桩的现场施工,需要采取相应的处理措施,为未来矩形桩的施工提供了有益参考.
Abstract
Pile foundations,known for their distinct horizontal load-bearing characteristics,are widely utilized in excavation support systems for foundation construction.In comparison to circular piles with equal cross-sectional areas,rectangular piles exhibit superior resistance to horizontal loads.Finite element numerical analyses were conducted in this investigation to compare the horizontal bearing capacity of rectangular and circular piles with a same cross-sectional area.The horizontal bearing capacity characteristics of rectangular piles were quantitatively analyzed,in which the effects of aspect ratio and filter cake thickness on bearing capacity were investigated.Results demonstrate that under the identical conditions,rectangular piles show an increase in horizontal bearing capacity by over 12％.With the increase of aspect ratio,the improvement ratio in lateral resistance becomes stabilized at around 17％.However,in the presence of filter cake,the horizontal bearing capacity of rectangular pile is lower than that of circular pile with the same cross-section.Thus,appropriate measures should be implemented during the on-site construction of rectangular piles.This study provides valuable insights for future construction of rectangular piles.
关键词
矩形桩/水平承载力/长宽比/泥皮Key words
rectangular piles/horizontal bearing capacity/aspect ratio/filter cake引用本文复制引用
基金项目
国家自然科学基金(52078506)
广东省自然科学基金面上项目(2023A1515012159)
出版年
2024
NETL
NSTL
万方数据