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[1]李斌,昝建航,顾箭峰*,等. 基于小波变换与正则化的梁桥挠度影响线识别方法 [J].武汉工程大学学报,2025,47(06):683-688.[doi:10.19843/j.cnki.CN42-1779/TQ.202408004]
 LI Bin,ZAN Jianhang,GU Jianfeng*,et al.Identification method for deflection influence lines of beam bridges based on wavelet transform and regularization [J].Journal of Wuhan Institute of Technology,2025,47(06):683-688.[doi:10.19843/j.cnki.CN42-1779/TQ.202408004]
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基于小波变换与正则化的梁桥挠度影响线识别方法

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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

卷:
47
期数:
2025年06期
页码:
683-688
栏目:
智能制造
出版日期:
2025-12-31

文章信息/Info

Title:
Identification method for deflection influence lines of beam bridges based on wavelet transform and regularization
文章编号:
1674 - 2869(2025)06 - 0683 - 06
作者:
李斌1昝建航2顾箭峰*2杨雨厚3
1. 广西壮族自治区贵港公路发展中心,广西 贵港 537100;
2. 武汉工程大学土木工程与建筑学院,湖北 武汉 430074;
3. 广西交科集团有限公司,广西 南宁 530007

Author(s):
LI Bin1ZAN Jianhang2GU Jianfeng*2YANG Yuhou3
1. Guigang Highway Development Center,Guangxi Zhuang Autonomous Region, Guigang 537100, China;
2. School of Civil Engineering and Architecture,Wuhan Institute of Technology, Wuhan 430074, China;
3. Guangxi Transportation Science and Technology Group Co.,Ltd, Nanning 530007, China

关键词:
挠度影响线影响线识别小波变换正则化方法
Keywords:
deflection influence line influence line identification wavelet transform regularization method
分类号:
U446
DOI:
10.19843/j.cnki.CN42-1779/TQ.202408004
文献标志码:
A
摘要:
为准确识别挠度影响线,提出一种基于小波变换与正则化的梁桥挠度影响线识别方法。利用小波变换对跨中挠度数据进行分解、分析及重构,得到梁桥准静态响应,并引入正则化方法弥补理论模型误差。以某预应力混凝土简支梁桥为研究对象,通过车辆荷载试验及数值模拟验证所提方法的准确性和有效性。结果表明:用整体相对误差(ORE)和峰值相对误差(PRE)评估识别精度,本文方法在不同车速下均可实现对挠度影响线的精准识别,且识别误差随车速的增大而降低,ORE和PRE最大值分别为4.03%和3.19%。因此本文方法能有效减小位移影响线识别误差,提高了影响线识别的准确性,并具备工程应用的良好潜力。
Abstract:
To precisely identify the deflection influence lines (DILs),a displacement influence line identification method based on wavelet transform and regularization theory was proposed in this study. First,mid-span deflection data was decomposed,analyzed,and reconstructed using wavelet transform to extract quasi-static responses. Regularization was then introduced to compensate for potential errors in the theoretical model. The accuracy and effectiveness of the method were validated through vehicle load tests and numerical simulations on a beam bridge simply supported by prestressed concrete. Results evaluated using overall relative error (ORE) and peak relative error (PRE) demonstrated that the proposed method achieved precise DIL identification across different vehicle speeds,with identification errors decreasing as speed increased. The maximum ORE and PRE were 4.03% and 3.19%,respectively. Therefore,this method can effectively reduce displacement influence line identification errors,enhance recognition accuracy,and exhibit significant potential for engineering applications.

参考文献/References:

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相似文献/References:

[1]孙 畅,昝建航,李 斌,等.随机车流荷载下基于正则化的位移影响线识别方法研究[J].武汉工程大学学报,2025,47(02):224.[doi:10.19843/j.cnki.CN42-1779/TQ.202405001]
 SUN Chang,ZAN Jianhang,LI Bin,et al.Regularization-based identification method for displacement influence lines under random traffic loads[J].Journal of Wuhan Institute of Technology,2025,47(06):224.[doi:10.19843/j.cnki.CN42-1779/TQ.202405001]

备注/Memo

备注/Memo:
收稿日期:2024-08-02
基金项目:贵港市自筹经费科研项目(贵路养函【2023】40号)
作者简介:李 斌,学士,高级工程师。Email:409314961@qq.com
*通信作者:顾箭峰,博士,副教授。Email:gjfcqucdu@wit.edu.cn

更新日期/Last Update: 2026-01-06