Research on Prediction Model of Support Vector Machine Based Land Subsidence caused by Foundation Pit Dewatering

机译：基础坑脱水引起的基于支撑载体机土地沉降预测模型研究

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Foundation Pit Dewatering always arouses surrounding land subsidence that has significant influence on the neighboring environment and even leads to serious natural disasters. So an accurate prediction of the settlement is the precondition of forecasting and evaluating the Foundation Pit Dewatering environment influence. Using the distance from settlement points to Foundation Pit, Equivalent compression modulus, the drawdown, Supporting structure stiffness and equivalent permeability coefficient as the independent variables, adopting the 38 groups of Engineering practical monitoring datas as the samples to establish the prediction model of Land Subsidence caused by Foundation Pit Dewatering based on Support Vector Machine theory. The project trial result shows that compared with traditional empirical method, the model possesses bigger forecast precision.

机译：基础坑脱水总是引起周边地区沉陷，对邻近环境产生重大影响，甚至导致严重的自然灾害。因此，对解决方案的准确预测是预测和评估基础坑脱水环境影响的前提。利用从沉降点到基坑，等效压缩模量，降低，支持结构刚度和等效渗透系数的距离，作为独立变量，采用38组工程实际监测数据作为样品，建立土地沉降预测模型造成的预测模型基于支持向量机理论的基础坑脱水。项目试验结果表明，与传统的经验方法相比，该模型具有更大的预测精度。

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来源
《International Conference on Structures and Building Materials》|2013年||共4页
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作者
Zhiguang Li; Haihui Zhou; Yunhe Xu;
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原文格式 PDF
正文语种
中图分类 TU5-53;
关键词
Foundation Pit Dewatering; Land subsidence; Impact factor; Solutions Statistical Package for the Social Sciences;

机译：基础坑脱水;土地沉降;影响因素;解决社会科学的统计包;

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1. The application of land subsidence control technologies caused by deep foundation pit dewatering [J] . Jinbao Liu Proceedings of the International Association of Hydrological Sciences . 2020,第4期

机译：深基坑脱水引起的土地沉降控制技术的应用
2. Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement [J] . Li Xiao, Liu Xin, Li Clyde Zhengdao, Structural health monitoring . 2019,第3期

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4. Research on Prediction Model of Support Vector Machine Based Land Subsidence caused by Foundation Pit Dewatering [C] . Zhiguang Li, Haihui Zhou, Yunhe Xu International Conference on Structures and Building Materials . 2013

机译：基础坑脱水引起的基于支撑载体机土地沉降预测模型研究
5. Active learning with support vector machines for imbalanced datasets and a method for stopping active learning based on stabilizing predictions. [D] . Bloodgood, Michael. 2009

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7. The application of land subsidence control technologies caused by deep foundation pit dewatering [O] . Jinbao Liu 2020

机译：深基坑脱水引起的土地沉降控制技术的应用

Research on Prediction Model of Support Vector Machine Based Land Subsidence caused by Foundation Pit Dewatering

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