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桥梁振动变形监测的加速度实时重构动态位移算法

张秋昭 刘振文 张龙强 张云龙 朱守庆

辽宁工程技术大学学报(自然科学版)2023,Vol.42Issue(6):671-678,8.
辽宁工程技术大学学报(自然科学版)2023,Vol.42Issue(6):671-678,8.DOI:10.11956/j.issn.1008-0562.2023.06.005

桥梁振动变形监测的加速度实时重构动态位移算法

An acceleration real-time reconstruction dynamic displacement algorithm for vibration deformation monitoring of bridges

张秋昭 1刘振文 2张龙强 2张云龙 3朱守庆2

作者信息

  • 1. 中国矿业大学 江苏省资源环境信息工程重点实验室,江苏 徐州 221116||中国铁路设计集团有限公司 城市轨道交通数字化建设与测评技术国家工程实验室,天津 300308
  • 2. 中国矿业大学 江苏省资源环境信息工程重点实验室,江苏 徐州 221116
  • 3. 中国铁路设计集团有限公司 城市轨道交通数字化建设与测评技术国家工程实验室,天津 300308
  • 折叠

摘要

Abstract

Aiming at the difficulties of real-time processing and drift errors of existing integration algorithm,this paper constructed a weighted moving average filtering method based on recursive high-pass filter.High pass recursive filter was used to reduce the low-frequency error between the original acceleration and the integral displacement,then the weighted sliding filter was used to eliminate the trend term caused by the residual error in the process of twice integration.The short prior data was used to fix the optimal filtering parameters based on the frequency-domain integration,so as to realize the real-time reconstruction of the bridge vibration displacement using the acceleration data.The test results of multiple sets of simulated data and two sets of measured data show that the reconstructed dynamic displacement accuracy is better than 1 mm under the condition of ensuring real-time solution.The research results show that this method has high accuracy and can provide a new scheme for real-time deformation monitoring of bridge vibration.

关键词

桥梁监测/振动变形/加权滑动均值滤波/实时重构动态位移/加速度积分

Key words

bridge monitoring/vibration deformation/weighted moving average filtering/real-time reconstruction of dynamic displacement/acceleration integral

分类

天文与地球科学

引用本文复制引用

张秋昭,刘振文,张龙强,张云龙,朱守庆..桥梁振动变形监测的加速度实时重构动态位移算法[J].辽宁工程技术大学学报(自然科学版),2023,42(6):671-678,8.

基金项目

城市轨道交通数字化建设与测评技术国家工程实验室开放课题基金项目(2021ZH03) (2021ZH03)

国家自然科学基金项目(42074226) (42074226)

辽宁工程技术大学学报(自然科学版)

OA北大核心CSTPCD

1008-0562

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