融合地磁定位与应变面积横向传递匹配的多车道桥梁BWIM方法研究  

Research on BWIM Method Integrated with Geomagnetic Positioning and Strain Area Lateral Transfer Matching for Multi-Lane Bridge

作　　者：钟继卫 杨宇 王亚飞 ZHONG Jiwei;YANG Yu;WANG Yafei(Wuhan University of Technology,Wuhan 430070,China;State Key Laboratory of Bridge Intelligence and Green Construction,Wuhan 430034,China;China Railway Bridge Science Research Institute,Ltd.,Wuhan 430034,China)

机构地区：[1]武汉理工大学,湖北武汉430070 [2]桥梁智能与绿色建造全国重点实验室,湖北武汉430034 [3]中铁大桥科学研究院有限公司,湖北武汉430034

出　　处：《桥梁建设》2024年第5期39-46,共8页Bridge Construction

基　　金：中国中铁股份有限公司科技研发重大专项(2021-专项-04-1)。

摘　　要：为改善多车道桥梁大交通流量下车辆信号分离与横向定位困难导致桥梁动态称重(BWIM)系统精度不足的问题,提出一种融合地磁定位与应变面积横向传递匹配的BWIM方法。该方法利用地磁矩阵矢量特性,构建一维卷积神经网络(1D-CNN)模型识别多车通行工况车辆数量和横向位置,采用应变面积横向传递匹配的荷载识别算法结合实测应变响应与车辆加载信息识别车辆重量。以武汉市某多车道空心板梁桥为背景,进行车辆横向位置定位试验,开展标定试验获取动应变响应计算桥梁结构实际影响面,开展单车通行和多车通行2种典型工况试验,基于互相关算法反演车辆通行速度,进而识别车辆重量,并进行精度分析。结果表明:所提方法能精准识别车辆数量与横向位置,车辆通行横向位置识别准确率保持在96%左右,车速识别误差小于5%;单车通行工况车辆重量识别误差小于2%,多车通行工况车辆重量识别误差小于5%;本文所提方法在保证车辆重量识别精度的前提下能大幅降低计算复杂度与动态响应的干扰,在多车通行场景下依然具有实用性。This study presents a Bridge Weigh-in-Motion(BWIM)method that integrates with geomagnetic positioning and strain area lateral transfer matching,which makes the vehicle signal extraction and lateral positioning easier for a multi-lane bridge under large traffic flow.This method utilizes the geomagnetic matrix vector characteristics to build up a 1-D convolution neural network(1D-CNN)to identify vehicle amount and lateral spacing between vehicles when multiple vehicles passing the bridge,subsequently,the load identification calculation method based on strain area lateral transfer matching is used to identify vehicle weights,together with the measured strain response and vehicle payload.A multi-lane hollow core beam bridge in Wuhan was used as a case.Vehicle lateral position positioning tests were performed.Calibration tests were conducted to obtain the actual influence surfaces of the bridge by the dynamic strain response calculation.Tests were carried out in two scenarios of one vehicle passing through the bridge and multiple vehicles passing through the bridge;Based on the cross-correlation algorithm,the vehicle velocity is inverted,furthermore,the vehicle weight is identified,and the identification accuracy is analyzed.It is demonstrated that the presented method can accurately identify the vehicle amount and lateral positions,with a lateral position identification accuracy maintained at about 96%,vehicle velocity identification error below 5%.In the scenario of single vehicle passing,the vehicle weight identification error is below 2%,while below 5%in the multiple vehicles passing scenario.The method presented can remarkably reduce the calculation complexities and disruption of dynamic response,with ensured the vehicle weight identification accuracy,which is also applicable in the scenario of multiple vehicles passing.

关 键 词：桥梁工程 车辆荷载识别 地磁定位方法 BWIM系统 多车道 车辆重量 横向位置 现场试验 

分 类 号：U446[建筑科学—桥梁与隧道工程]