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高填路基边坡工后变形特征及预测模型研究

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高填路基边坡的工后变形特征复杂,如何合理地预测施工期沉降位移成为各方关注的焦点.以某高填方路基边坡变形监测数据为基础,系统地研究了高填方路基边坡变形特征及规律,采用对数曲线模型、指数曲线模型、双曲线模型、抛物线模型及泊松曲线模型进行了拟合分析,利用数值模拟计算验证了沉降预测模型.研究表明:①高填路基边坡施工后,会产生非线性增大趋势的变形,其增幅逐渐减小,边坡整体趋于稳定;②对可决系数和估计标准误差分析知,5种回归预测模型的拟合程度均较好;③对于沉降位移,对数曲线模型和抛物线模型回归预测效果较好,双曲线模型和指数曲线模型次之,泊松曲线模型较差;④利用UDEC数值模拟软件对比分析对数曲线模型,验证其拟合效果较好,可为公路和铁路高填路基工程提供参考.
Study on Post-construction Deformation Characteristics and Prediction Model of High Fill Subgrade Slope
The post construction deformation characteristics of high fill roadbed slopes are complex.How to reasonably predict the settlement displacement during the construction period has become the focus of attention for all parties involved.Based on the monitoring data of slope deformation of a high fill subgrade,the deformation characteristics and laws of the subgrade slope are systematically studied.The fitting analysis is carried out by using logarithmic curve model,exponential curve model,hyperbola model,parabola model and Poisson curve model.The settlement prediction model is verified by numerical simulation calculation.Research shows that:① After the construction of high fill embankment slope,the deformation with nonlinear increasing trend will occur,and the increasing rate will decrease gradually,and the slope will be stable as a whole.②From the analysis of the determination coefficient and the estimation standard error,the fitting degree of the five regression prediction models is relatively good.③For the settlement displacement,logarithmic curve model and parabolic model are better than hyperbolic model and exponential model,and Poisson curve model is worse.④ The logarithmic curve model was compared and analyzed by UDEC numerical simulation software,and its fitting effect was verified.It can provide reference for roadbed engineering of highway and railway.

high fill subgradefield monitoringnumerical simulationdeformation characteristicsprediction model

戴培柱、李明智、陈川、邵羽、韩琳琳

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广西新发展交通集团有限公司,广西南宁 530029

广西交通设计集团有限公司,广西南宁 530025

高填路基 现场监测 数值模拟 变形特征 预测模型

2024

公路工程
湖南省交通科学研究院

公路工程

CSTPCD
影响因子:0.942
ISSN:1674-0610
年,卷(期):2024.49(6)