A Study on the Prediction Model of High Filling Foundation Settlement in Northwest China

LI Chenglin; WANG Jiading; GU Tianfeng

doi:10.19751/j.cnki.61-1149/p.2022.01.019

Northwestern Geology > 2022 > 55(1): 225-235. > DOI: 10.19751/j.cnki.61-1149/p.2022.01.019

LI Chenglin, WANG Jiading, GU Tianfeng. A Study on the Prediction Model of High Filling Foundation Settlement in Northwest China[J]. Northwestern Geology, 2022, 55(1): 225-235. DOI: 10.19751/j.cnki.61-1149/p.2022.01.019

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A Study on the Prediction Model of High Filling Foundation Settlement in Northwest China

1. State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an 710069, Shaanxi, China

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Received Date: April 11, 2021
Revised Date: June 21, 2021
Available Online: July 28, 2022
Published Date: March 04, 2022

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Abstract

Abstract

Settlement deformation has always been a key problem in filling projects. The presence of wet-set loess and pulverized clay in the original foundation leads to increased and uneven settlement.Therefore, settlement monitoring and post-work prediction are essential to ensure the stability of high filling foundations. Based on the settlement monitoring data of high fill in an airport relocation project in northwest China, this paper applies hyperbolic, logarithmic and exponential fitting curves to predict the settlement of the fill foundation, analyzing and comparing them, and summarizes the fitting characteristics of each model. A settlement prediction model is established for high filling foundations using the gray system theory GM (1, 1), while a joint GM (1, 1)-BP neural network prediction model is proposed aimed at solving the problem of the deviation of the GM (1, 1) gray model from the measured curve in later stage. Finally the authors combine the gray GM (1, 1) model and the curve model with unequal weight coefficients in order to maximize the prediction accuracy of the GM (1, 1) gray model.The study provides reference for the prediction of similar foundation settlement in northwest China.
- settlement prediction model study,
- high filling foundation,
- gray model,
- BP neural network,
- combined prediction model

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References

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A Study on the Prediction Model of High Filling Foundation Settlement in Northwest China

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