基于优化灰色模型的管道桥施工线形控制  

Linear Control of Pipeline Bridge Construction Based on Optimized Grey Model

作　　者：吴靖江 刘杰 黄亚飞 张帅杰 张永 张锦涵 Wu Jingjiang;Liu Jie;Huang Yafei;Zhang Shuaijie;Zhang Yong;Zhang Jinhan(China Construction Seventh Engineering Bureau Co.,Ltd.,Zhengzhou,China;School of Water Conservancy and Transportation,Zhengzhou University,Zhengzhou,China)

机构地区：[1]中国建筑第七工程局有限公司,河南郑州 [2]郑州大学水利与交通学院,河南郑州

出　　处：《科学技术创新》2024年第19期176-179,共4页Scientific and Technological Innovation

基　　金：国家自然科学基金(51878623)。

摘　　要：传统灰色预测模型在桥梁线形预测中易受外界噪声干扰而导致预测精度降低,故采用Kalman滤波法对桥梁竖向位移数据进行降噪,并构建优化后的灰色预测模型。以某管道桥为工程依托,将优化前后的灰色模型预测得到的竖向位移值与经过验证的有限元模拟值对比,证明了Kalman滤波法对传统灰色预测模型的优化效果。结果表明:采用Kalman滤波法优化过后的灰色预测模型计算得到的预测竖向位移值与有限元模拟值相差较小,整体平均误差在12%左右,相较于传统灰色预测模型的预测精度得到了显著提高。The traditional grey prediction model is easy to be disturbed by external noise in the prediction of bridge linear shape,which leads to the reduction of prediction accuracy.Therefore,Kalman filtering method is used to reduce the noise of bridge vertical displacement data,and the optimized grey prediction model is constructed.Based on a pipeline bridge project,by comparing the vertical displacement values predicted by the gray model before and after optimization with verified FEM simulations,the optimization effect of the Kalman filtering method on the traditional gray prediction model is proved.The results show that the difference between the predicted vertical displacement value calculated by the gray prediction model optimized by Kalman filtering method and the finite element simulation value is small,and the overall average error is about 12%,which is significantly improved compared with the prediction accuracy of the traditional gray prediction model.

关 键 词：管道桥 灰色模型 Kalman滤波法 有限元分析 线形控制 

分 类 号：U442.5[建筑科学—桥梁与隧道工程] U445.4[交通运输工程—道路与铁道工程]