Development of a bridge weigh-in-motion method considering the presence of multiple vehicles

被引：54

作者：

Chen, Shi-Zhi ^{[1
,2
]}

Wu, Gang ^{[1
,2
]}

Feng, De-Cheng ^{[1
,2
]}

机构：

[1] Southeast Univ, Key Lab Concrete & Prestressed Concrete Struct, Minist Educ, Nanjing 210096, Jiangsu, Peoples R China

[2] Southeast Univ, Lab Industrialized Struct & Bridge Engn Jiangsu P, Nanjing 210096, Jiangsu, Peoples R China

来源：

ENGINEERING STRUCTURES | 2019年 / 191卷

基金：

中国国家自然科学基金;

关键词：

Bridge weigh-in-motion; Velocity; Wheelbase; Axial weight; Long-gauge fibre Bragg grating; SYSTEM; IDENTIFICATION;

D O I：

10.1016/j.engstruct.2019.04.095

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

These days, bridge weigh-in-motion (B-WIM) method has become a promising and useful technique in the bridge maintenance. Through a B-WIM method, the information of traffic can be accurately measured to facilitate the design and management of bridge. However, currently there are some issues existing in B-WIM method including the sensor's feasibility, the inapplicability for the multiple vehicle scenarios and the requirement of an additional axle-detector. Under this background, in this study, only based on the long-gauge fibre Bragg grating (LGFBG) sensor, a B-WIM method is presented considering the presence of multiple vehicles. This method was tested through a series of designed experimental cases considering the situations of single vehicle and two vehicles. The results showed that under designed situations, this method could accurately identify vehicles' velocities, wheelbases and axial weight, but in order to apply this method on an actual bridge more numerical studies and on-site tests are needed in the future.

引用

页码：724 / 739

页数：16

共 40 条

[1]

American Association of State Highways and Transportation Offi-cials, 2017, LRFD BRIDG CONSTR SP

[2]

Arturo Gonzalez, 2012, J TEST EVAL, V40

[3] Structural health monitoring and reliability estimation: Long span truss bridge application with environmental monitoring data [J].

Catbas, F. Necati ;

Susoy, Melih ;

Frangopol, Dan M. .

ENGINEERING STRUCTURES, 2008, 30 (09) :2347-2359

[4] Wavelet domain analysis for identification of vehicle axles from bridge measurements [J].

Chatterjee, Pranesh ;

OBrien, Eugene ;

Li, Yingyan ;

Gonzalez, Arturo .

COMPUTERS & STRUCTURES, 2006, 84 (28) :1792-1801

[5] Damage detection of highway bridges based on long-gauge strain response under stochastic traffic flow [J].

Chen, Shi-Zhi ;

Wu, Gang ;

Feng, De-Cheng .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 127 :551-572

[6] Development of a Bridge Weigh-in-Motion System Based on Long-Gauge Fiber Bragg Grating Sensors [J].

Chen, Shi-Zhi ;

Wu, Gang ;

Feng, De-Cheng ;

Zhang, Lu .

JOURNAL OF BRIDGE ENGINEERING, 2018, 23 (09)

[7] Prestressing force monitoring method for a box girder through distributed long-gauge FBG sensors [J].

Chen, Shi-Zhi ;

Wu, Gang ;

Xing, Tuo ;

Feng, De-Cheng .

SMART MATERIALS AND STRUCTURES, 2018, 27 (01)

[8] Deflection monitoring for a box girder based on a modified conjugate beam method [J].

Chen, Shi-Zhi ;

Wu, Gang ;

Xing, Tuo .

SMART MATERIALS AND STRUCTURES, 2017, 26 (08)

[9] Simultaneous identification method of damage and vehicle parameters on bridges utilizing long-gauge strain influence line under moving vehicle loads [J].

Chen, Shizhi ;

Wu, Gang ;

Wu, Bitao .

SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2017, 2017, 10168

[10] Equivalent Shear Force Method for Detecting the Speed and Axles of Moving Vehicles on Bridges [J].

Deng, Lu ;

He, Wei ;

Yu, Yang ;

Cai, C. S. .

JOURNAL OF BRIDGE ENGINEERING, 2018, 23 (08)

← 1 2 3 4 →