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

Zhi Guang Li; Hai Hui Zhou; Yun He Xu

doi:10.4028/www.scientific.net/AMR.671-674.105

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Research on Prediction Model of Support Vector Machine Based Land Subsidence Caused by Foundation Pit Dewatering
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Research on Stability of Slope by Influence of a Rapid Drawdown of Water Table
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 671-674Research on Prediction Model of Support Vector...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 671-674)

Pages:

105-108

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.671-674.105

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Online since:

March 2013

Authors:

Zhi Guang Li, Hai Hui Zhou, Yun He Xu

Keywords:

Foundation Pit Dewatering, Impact Factor, Land Subsidence, Solutions Statistical Package for the Social Scienc

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