1) tube shape prediction
管形预测
1.
The group finite element model of tube shape prediction has been established to simulate this process by means of 3-D thermo-mechanical coupled finite element method on the platform of FEM software Marc.
针对无缝钢管张力减径产品的管形问题,将张力减径过程分为机架内的轧制变形和机架间的网格再生过程,在有限元软件Marc平台上,建立了管形预测的分组有限元模型,进行三维热力耦合有限元模拟研究。
2) flatness prediction
板形预测
1.
Finally,an ideal flatness prediction model,based on BP neural network,is established so that the prediction of the flatness parameters in rolling operation can be accomplished.
通过有限元仿真分析,较准确的模拟了带钢轧制过程,获取对轧机板形影响较大的参数值,并将其结果作为训练样本对神经网络进行训练,建立了较为理想的基于神经网络的板形预测模型,实现了轧制过程中的板形参数的预报。
3) deformation prediction
变形预测
1.
Application of cubic exponential smoothing method to city underground deformation prediction;
三次指数平滑法在城市地铁变形预测中的应用
2.
The wavelet neural network based on the Extended Kalman Filter applied to deformation prediction;
基于EKF的小波神经网络在变形预测中的应用
3.
Application of neural network based on the extended Kalman filter to deformation prediction;
基于EKF的神经网络在变形预测中的应用
4) shape prediction
板形预测
1.
The research with high accuracy shape prediction model for strip cold mill;
板带冷轧机高精度板形预测模型的研究
5) deformation forecast
变形预测
1.
Subgrade deformation forecast of frozen soil based on phase space reconstruction;
基于相空间重构的冻土路基变形预测
2.
Application of gray model in deformation forecast of foundation pit support;
灰色模型在基坑支护变形预测中的有效应用
3.
Application of dynamic gray model in deformation forecast;
动态灰色模型在变形预测中的应用
补充资料：发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条