工程地质学报2026，Vol.34Issue(2)：827-836,10.DOI:10.13544/j.cnki.jeg.2023-0176
框架式抗滑桩抗滑机理及结构参数优化分析
ANTI-SLIDING MECHANISM AND OPTIMIZATION ANALYSIS OF STRUC-TURAL PARAMETERS OF FRAME ANTI-SLIDING PILES
摘要
Abstract
To further elucidate the anti-sliding mechanism of frame anti-slide piles and optimize their structural parameters,this study first applied structural mechanics theory to derive the internal forces of frame anti-slide piles under a planar rigid frame assumption,analyzing their anti-sliding behavior.Subsequently,Abaqus CAE finite element software was employed to evaluate slope stability and variations in maximum bending moments of the piles under different structural parameters,leading to optimized design recommendations.Practical structural parameters for frame anti-slide piles in engineering applications were proposed.Finally,a comparative analysis was conducted on the deformation behavior of frame anti-slide piles,double-row anti-slide piles(without connecting beams),and portal anti-slide piles under varying slope-top loads.The results indicate that the optimal parameter ranges are:beam spacing between 1/2L and 3/4L(where L is pile length),pile spacing between 4D and 5D,and row spacing of 8D(where D is pile diameter).The pile-head displacement of the frame anti-slide pile was smaller than that of the other two pile types,and an exponential function relating pile load to pile-head displacement was established for the frame anti-slide pile.This study provides a reference for parameter design and displacement monitoring of frame anti-slide piles in practical engineering.关键词
框架式抗滑桩/参数优化/稳定性分析/桩身弯矩/桩顶位移Key words
Frame anti-slide pile/Parameter optimization/Stability analysis/Pile bending moment/Pile top displacement分类
天文与地球科学引用本文复制引用
任青阳,刘畅,幸芊,靳红华..框架式抗滑桩抗滑机理及结构参数优化分析[J].工程地质学报,2026,34(2):827-836,10.基金项目
国家自然科学基金项目(资助号:U20A20314,41472262),重庆市自然科学基金重点项目(资助号:cstc2020jcyj-zdxmX0012),重庆市高校创新研究群体项目(资助号:CXQT19021),首批重庆英才创新领军人才项目(资助号:CQYC201903026).This research is supported by the National Natural Science Foundation of China(Grant Nos.U20A20314,41472262),Key Projects of Chongqing Natural Science Foundation(Grant No.cstc2020jcyj-zdxmX0012),Innovation Research Group of Universities in Chongqing(Grant No.CXQT19021)and the First Batch of Innovative Leading Talents in Chongqing(Grant No.CQYC201903026). （资助号:U20A20314,41472262）
