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基于EWN模型的高铁沉降观测数据预测研究
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作者 申彦民 《科技创新导报》 2021年第15期131-134,共4页
针对高铁沉降变形监测数据存在的误差将降低预测模型预测精度的问题,利用EMD算法结合小波去噪算法对高铁累积沉降数据进行去噪预处理,利用NAR预测模型完成去噪后数据的预测实验。实验结果表明,EWN模型相对仅使用小波去噪的NAR模型具有... 针对高铁沉降变形监测数据存在的误差将降低预测模型预测精度的问题,利用EMD算法结合小波去噪算法对高铁累积沉降数据进行去噪预处理,利用NAR预测模型完成去噪后数据的预测实验。实验结果表明,EWN模型相对仅使用小波去噪的NAR模型具有更高的预测水平,其中平均相对误差减少了4.6%,残差均值减少了0.29mm。将EMD算法结合小波去噪算法应用于NAR模型的去噪预处理,可以提高NAR模型的预测精度。 展开更多
关键词 变形监测 经验模态分解算法 小波去噪算法 变形数据预测
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New double yield surface model for coarse granular materials incorporating nonlinear unified failure criterion 被引量:3
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作者 刘萌成 刘汉龙 高玉峰 《Journal of Central South University》 SCIE EI CAS 2012年第11期3236-3243,共8页
A new double-yield-sarface (DYS) model was developed to characterize the strength and deformation behaviors of coarse granular materials (CGMs). Two kinds of deformation mechanisms, including the shear and compres... A new double-yield-sarface (DYS) model was developed to characterize the strength and deformation behaviors of coarse granular materials (CGMs). Two kinds of deformation mechanisms, including the shear and compressive plastic deformation, were taken into account in this model, These two deformation mechanisms were described by the shear and compressive yield functions, respectively. The Lode angle dependent formulations of proposed model were deduced by incorporating a 3D nonlinear unified failure criterion. Some comparisons were presented between the numerical predictions of proposed model and test data of true triaxial tests on the modeled rockfills. The model predictions are in good agreement with the test data and capture the strain hardening and plastic volumetric dilation of CGMs. These findings verify the reasonability of current DYS model, and indicate that this model is well suited to reproduce the stress-strain-volume change behavior of CGMs in general. 展开更多
关键词 constitutive model coarse granular material failure criterion DILATANCY yield surface
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