真空预压法处理双层软土地基沉降特性分析及预测
Analysis and Prediction of Settlement Characteristics of Double-layer Soft Soil Foundation Treated by Vacuum Preloading Method
孙冲 1刘印鹏 1陈少青 2程林2
作者信息
- 1. 天津市水利工程集团有限公司,天津 300222
- 2. 天津市北洋水运水利勘察设计研究院有限公司,天津 300460
- 折叠
摘要
由人工填土层和原始海相沉积土层组成的双层软土地基不同于常规地基形式,其沉降预测结果离散性大.天津滨海地区某工程地基为双层软土地基,采用真空预压法进行地基处理,通过现场监测揭示了双层软土地基沉降的特性.在沉降预测方面,利用卷积神经网络建立了双层软土地基沉降预测模型,并与双曲线拟合法进行比较,研究结果显示,该方法同样可以准确预测地基沉降变形,满足工程建设需求.
Abstract
The double-layer soft soil foundation composed of artificial fill layer and original marine sedimentary soil layer is different from the conventional foundation form,and its settlement prediction results have large discreteness.The foundation of a cer-tain project in the coastal area of Tianjin is a double-layer soft soil foundation.The vacuum preloading method was used for foundation treatment.Based on this engineering example,the settlement characteristics of the double-layer soft soil foundation were revealed through on-site monitoring.In terms of settlement prediction,a double-layer soft soil foundation settlement prediction model was estab-lished using convolutional neural networks,and compared with hyperbolic fitting method.The research results showed that this meth-od can also accurately predict foundation settlement deformation,meeting the needs of engineering construction.
关键词
双层软土地基/真空预压/沉降特性/机器学习/卷积神经网络Key words
double-layer soft soil foundation/vacuum preloading/settlement characteristics/machine learning/convolution neural network引用本文复制引用
基金项目
天津市水利工程集团有限公司科技项目(2022-02)
出版年
2024
NETL
NSTL
万方数据