河北水利电力学院学报 ›› 2025, Vol. 35 ›› Issue (1): 58-64.DOI: 10.16046/j.cnki.issn2096-5680.2025.01.010

• 岩土工程 • 上一篇    下一篇

复杂地质条件下高层建筑地基承载力预测方法研究

范小倩   

  1. 安徽工业经济职业技术学院地质与建筑工程学院,安徽省合肥市包河区梁园路1号 230051
  • 收稿日期:2023-09-08 修回日期:2024-09-28 出版日期:2025-03-31 发布日期:2025-04-16
  • 作者简介:范小倩(1987-),女,安徽合肥人,讲师,主要研究方向:地质灾害治理、土力学与基础工程等。E-mail:yxuebun88@163.com
  • 基金资助:
    安徽省高等学校科学研究项目(自然科学类)(2022AH052670);安徽省质量工程精品课程项目(2021jpkc023)

Study on Prediction Method of Foundation Bearing Capacity of High-rise Buildings under Complex Geological Conditions

FAN Xiaoqian   

  1. College of Geology and Construction Engineering, Anhui Technical College of Industry and Economy, 230051, Hefei, anhui, China
  • Received:2023-09-08 Revised:2024-09-28 Online:2025-03-31 Published:2025-04-16

摘要: 复杂地质条件下地基沉降预测存在预测误差大的问题。为降低预测误差,文中提出一种新的复杂地质条件下高层建筑地基承载力预测方法。该预测方法引入支持向量机算法,融入松弛系数,通过遗传算法优化支持向量机,构建地基承载力预测模型,并且设计了预测方法实现流程,实现高层建筑地基承载力预测。结果表明:该预测方法的沉降预测误差低于2%,绝对误差低于0.0005mm。该方法有效降低了高层建筑地基承载力预测误差,具有一定的可行性。

关键词: 复杂地质, 高层建筑, 地基承载力, 承载力预测, 预测方法

Abstract: A new method for predicting the bearing capacity of high-rise building foundation under complex geological conditions is proposed to reduce the prediction error. Support vector machine algorithm was introduced in this prediction method, the relaxation coefficient is incorporated, and genetic algorithm was used to optimize the support vector machine, the foundation bearing capacity prediction model was constructed, and the implementation process of the prediction method was designed to realize the foundation bearing capacity prediction of high-rise buildings. The experimental results show that the settlement prediction error of the proposed bearing capacity prediction method is less than 2%, and the absolute error is less than 0.0005mm. This method effectively reduces the prediction error of the bearing capacity of high-rise building foundations and has certain feasibility.

Key words: complex geology, high rise building, foundation bearing capacity, bearing capacity prediction, prediction method

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