2025年7月24日 星期四
岩石力学与工程学报  2024, Vol. 43 Issue (S2): 4000-4008    DOI: 10.13722/j.cnki.jrme.2023.0825
  学术论文 本期目录 | 过刊浏览 | 高级检索 |
基于粒子群算法的深基坑支撑轴力优化研究
孙九春,吴圣伟,曹  虹
(腾达建设集团股份有限公司,上海  200122)
Research on optimization of support axial force of deep foundation pit based on particle swarm optimization algorithm
SUN Jiuchun,WU Shengwei,CAO Hong
(Tengda Construction Group Co.,Ltd.,Shanghai 200122,China)
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摘要 当前,轴力伺服(补偿)系统对软土基坑变形控制的效果时好时坏,其优势未能充分发挥。为此,在基坑侧向变形主动控制方法的基础上,创新性地运用基于群智能的粒子群算法解决支撑轴力优化问题,建立考虑基坑施工过程的支撑轴力优化方法,并开发基于粒子群算法的竖向弹性地基梁法计算程序,获得在动态、多工况变化的基坑施工中能够满足支护结构强度、刚度要求的合理支撑轴力。结果表明,本文引入的粒子群算法可以简单高效地求解涉及围护结构内力、变形和支撑承载能力等动态、多约束条件下的支撑轴力优化问题,为今后基于主动控制的深基坑设计提供了借鉴。
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孙九春
吴圣伟
曹 虹
关键词 基坑工程主动控制粒子群算法轴力优化    
Abstract: Currently,the effect of the axial force servo(compensation) system on the deformation control of soft soil foundation pits is inconsistent,and its advantages have not been fully exerted. Therefore,based on the active control method of the lateral deformation of the foundation pit,the particle swarm algorithm based on swarm intelligence is innovatively applied to solve the optimization problem of the supporting axial force,and the optimization method of the supporting axial force considering the construction process of the foundation pit is established. In addition,the calculation program of the vertical elastic foundation beam method based on the particle swarm algorithm is developed to obtain the reasonable supporting axial force that can meet the strength and stiffness requirements of the supporting structure in the dynamic and multi-condition changing foundation pit construction. The results show that the particle swarm algorithm introduced in this paper can simply and efficiently solve the optimization problem of the supporting axial force under dynamic and multiple constraint conditions involving the internal force and deformation of the retaining structure and the bearing capacity of the support,providing a reference for the design of deep foundation pits based on active control in the future.
Key wordsfoundation pit engineering    active control    particle swarm optimization    axial force optimization
    
引用本文:   
孙九春,吴圣伟,曹 虹. 基于粒子群算法的深基坑支撑轴力优化研究[J]. 岩石力学与工程学报, 2024, 43(S2): 4000-4008.
SUN Jiuchun,WU Shengwei,CAO Hong. Research on optimization of support axial force of deep foundation pit based on particle swarm optimization algorithm. , 2024, 43(S2): 4000-4008.
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