| 西北地区高填方地基沉降的预测模型研究及分析 |
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| 引用本文： | 李承霖,王家鼎,谷天峰.西北地区高填方地基沉降的预测模型研究及分析[J].西北地质,2022(1):225-235. |
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| 作者姓名： | 李承霖 王家鼎 谷天峰 |
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| 作者单位： | 西北大学地质学系大陆动力学国家重点实验室 |
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| 基金项目： | 国家自然科学基金重大科研仪器研制项目(42027806);国家自然科学基金重大项目(41630639);国家自然科学基金青年项目(41807252)。 |
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| 摘 要： | 沉降变形一直都是困扰填方工程的关键问题,原始地基中存在的湿陷性黄土与粉质黏土会导致沉降增大以及不均匀沉降等现象的发生.因此,做好工程的沉降监测和工后预测,对于保障高填方地基的稳定性至关重要.笔者以西北某机场迁建工程中高填方沉降监测数据作为依据,分别应用双曲线、对数和指数拟合曲线对填方地基的沉降进行预测、分析与对比,总结...
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| 关 键 词： | 沉降预测模型研究 高填方地基 灰色模型 BP神经网络 组合预测模型 |
A Study on the Prediction Model of High Filling Foundation Settlement in Northwest China |
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| LI Chenglin,WANG Jiading,GU Tianfeng.A Study on the Prediction Model of High Filling Foundation Settlement in Northwest China[J].Northwestern Geology,2022(1):225-235. |
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| Authors: | LI Chenglin WANG Jiading GU Tianfeng |
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| Institution: | (State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi’an 710069,Shaanxi,China) |
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| 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. |
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| Keywords: | settlement prediction model study high filling foundation gray model BP neural network combined prediction model |
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