摘要
高速铁路桥梁施工监控是修正施工参数,确保成桥受力和线形的重要一环。为减弱施工、地质条件、外界环境及体系变换等“噪声”影响,提高真实变形量提取精度,通过构建小波-EMD耦合模型,选择合适的小波基函数对变形时序数据进行消噪处理,然后对消噪后的数据进行EMD分解,将高频率信号予以剔除,进而获取最接近真实值的动态变形序列。分析提取值,其在信噪比、均方根误差等方面显著提高,实现了真实沉降信息提取的目的。将提取值建立多种预测模型进行分析对比,灰色理论预测模型较适合于桥墩沉降变形信息预测,且预测变形量、变形速率等满足相关规范要求,对于工程实践应用具有较好的指导意义。
The construction monitoring of high-speed railway bridge is an important part of correcting construction parameters and ensuring the force and alignment of the bridge.In order to reduce the influence of interference signals caused by construction,geological conditions,external environment and system transformation,and improve the accuracy of real deformation,the wavelet function-EMD coupling model is constructed,and the appropriate wavelet basis function is selected to denoise the deformation time series data.Then,the denoised data is decomposed by EMD,and the high frequency signal is eliminated,so as to obtain the dynamic deformation sequence closest to the real value.The results show that the extracted values are significantly improved in terms of signal-to-noise ratio and root mean square error,realizing the extraction of real settlement information.The extracted values are substituted into a variety of prediction models for analysis and comparison.It is found that the grey theory prediction model is more suitable for the prediction of pier settlement deformation information,and the predicted deformation and deformation rate meet the requirements of relevant specifications,which has a good guiding significance for engineering practice.
作者
梁永平
王江荣
LIANG Yongping;WANG Jiangrong(School of Civil Engineering,Lanzhou Petrochemical University of Vocational Technology,Lanzhou 730060,China;School of Information Processing and Control Engineering,Lanzhou Petrochemical University of Vocational Technology,Lanzhou 730060,China)
出处
《海洋测绘》
CSCD
北大核心
2023年第2期25-29,共5页
Hydrographic Surveying and Charting
基金
甘肃省教育厅高校教师创新基金(2023B-08)
兰州市科技发展指导性计划(2022-5-4
2019-ZD-163)
甘肃省大学生创新创业训练计划(S202216209206)。
关键词
桥墩沉降
变形监测
小波-EMD
信息提取
效果对比
模型预测
数学分析
deformation monitoring
bridge pier settlement
wavelet-EMD coupling model
information extraction
effect contrast
model prediction
