|Table of Contents|

Numerical Analysis of Identifying Frequency and Vibration Mode of Rough Bridge by Articulated Vehicle Model(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2022年02期
Page:
119-127
Research Field:
桥梁工程
Publishing date:

Info

Title:
Numerical Analysis of Identifying Frequency and Vibration Mode of Rough Bridge by Articulated Vehicle Model
Author(s):
ZHANG Wen-wu1;  QI Xing-jun2;  XIAO Zhi-quan2;  QI Sheng2;  WANG Shan-shan1
(1. Shandong Hi-speed Group Co., Ltd., Jinan 250098, Shandong, China; 2. School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, Shandong, China)
Keywords:
bridge;  frequency;  vibration mode;  bridge indirect measurement method;  articulated vehicle model
PACS:
TU375
DOI:
10.19815/j.jace.2021.05018
Abstract:
According to the vehicle bridge coupling vibration theory and the basic principle of bridge indirect measurement method, a bridge model of a continuous beam bridge in practical engineering was established. Two single-axle 1/4 vehicle models were used to simulate the measurement vehicle, and one two-axle half-vehicle model was used to simulate the traction vehicle to provide additional bridge excitation.Three vehicles were hinged at the front and rear to establish the vehicle model. Based on the principle of separation method and vehicle dynamics theory, the displacement coordination relationship between wheel and bridge deck contact point at any time was realized by using constraint equation. The coupling dynamic time history response analysis of articulated vehicle crossing the bridge was realized by APDL programming. The time history response of vehicle vibration acceleration when the front and rear test vehicles passed through different levels of rough bridge deck at a uniform speed was extracted. The acceleration values of the front and rear test vehicles passing through the same position of the bridge were subtracted, and the bridge frequency was identified by fast Fourier transform. The bridge frequency component response related to the bridge natural frequency was extracted and separated by the combination of band-pass filtering technology and Hanning window. The vibration mode corresponding to each natural frequency was constructed by using the bridge frequency component response and its Hilbert transform. The results show that under the condition of class A, B and C deck roughness, the first three frequency errors of the bridge identified by the articulated vehicle model are all within 1%. After windowing the acceleration time history response data, the MAC values of the first three vibration modes of the bridge identified are more than 0.95, meeting the engineering accuracy requirements. The research results can provide a theoretical reference for the application of mobile sensor indirect measurement method in bridge detection engineering.

References:

[1] FAN W,QIAO P Z.Vibration-based Damage Identification Methods:A Review and Comparative Study[J].Structural Health Monitoring,2011,10(1):83-111.
[2]YANG Y B,LIN C W,YAU J D.Extracting Bridge Frequencies from the Dynamic Response of a Passing Vehicle[J].Journal of Sound and Vibration,2004,272(3/4/5):471-493.
[3]杨永斌.非传统思维的桥梁监测法[J].桥梁,2015,66(4):34-36.
YANG Yong-bin.Bridge Non-traditional Monitoring Method[J].Bridge,2015,66(4):34-36.
[4]LIN C W,YANG Y B.Use of a Passing Vehicle to Scan the Fundamental Bridge Frequencies:An Experimental Verification[J].Engineering Structures,2005,27(13):1865-1878.
[5]ZHANG Y,WANG L Q,XIANG Z H.Damage Detection by Mode Shape Squares Extracted from a Passing Vehicle[J].Journal of Sound and Vibration,2012,331(2):291-307.
[6]ZHANG Y,LIE S T,XIANG Z H.Damage Detection Method Based on Operating Deflection Shape Curvature Extracted from Dynamic Response of a Passing Vehicle[J].Mechanical Systems and Signal Processing,2013,35(1/2):238-254.
[7]YANG Y B,LI Y C,CHANG K C.Constructing the Mode Shapes of a Bridge from a Passing Vehicle:A Theoretical Study[J].Smart Structures and Systems,2014,13(5):797-819.
[8]MALEKJAFARIAN A,OBRIEN E J.Identification of Bridge Mode Shapes Using Short Time Frequency Domain Decomposition of the Responses Measured in a Passing Vehicle[J].Engineering Structures,2014,81:386-397.
[9]MALEKJAFARIAN A,MCGETRICK P J,OBRIEN E J.A Review of Indirect Bridge Monitoring Using Passing Vehicles[J].Shock and Vibration,2015,2015:1-16.
[10]OBRIEN E J,MALEKJAFARIAN A.A Mode Shape-based Damage Detection Approach Using Laser Measurement from a Vehicle Crossing a Simply Supported Bridge[J].Structural Control and Health Monitoring,2016,23(10):1273-1286.
[11]OBRIEN E J,MALEKJAFARIAN A,GONZALEZ A.Application of Empirical Mode Decomposition to Drive-by Bridge Damage Detection[J].European Journal of Mechanics — A/Solids,2017,61:151-163.
[12]贾宝玉龙.梁式结构基于间接测量法的损伤识别方法研究[D].重庆:重庆大学,2016.
JIA Bao-yulong.Research on Damage Detection of Beam-type Structure by Using Bridge Indirect Measurement Method[D].Chongqing:Chongqing University,2016.
[13]QI Z Q,AU F T K.Identifying Mode Shapes of Girder Bridges Using Dynamic Responses Extracted from a Moving Vehicle Under Impact Excitation[J].International Journal of Structural Stability and Dynamics,2017,17(8):1750081.
[14]谢天宇.桥梁动态讯息间接测量法的多种工况分析研究[D].重庆:重庆大学,2017.
XIE Tian-yu.A Study on the Working Conditions Analysis for the Bridge Indirect Measurement Method[D].Chongqing:Chongqing University,2017.
[15]KONG X,CAI C S,KONG B.Damage Detection Based on Transmissibility of a Vehicle and Bridge Coupled System[J].Journal of Engineering Mechanics,2015,141(1):04014102.
[16]KONG X,CAI C S,KONG B.Numerically Extracting Bridge Modal Properties from Dynamic Responses of Moving Vehicles[J].Journal of Engineering Mechanics,2016,142(6):04016025.
[17]KONG X,CAI C S,DENG L,et al.Using Dynamic Responses of Moving Vehicles to Extract Bridge Modal Properties of a Field Bridge[J].Journal of Bridge Engineering,2017,22(6):04017018.
[18]YANG Y B,YANG J P.State-of-the-art Review on Modal Identification and Damage Detection of Bridges by Moving Test Vehicles[J].International Journal of Structural Stability and Dynamics,2018,18(2):1850025.
[19]贺文宇,何 健,任伟新.基于间接法识别的桥梁振型的损伤定位方法[J].振动与冲击,2018,37(24):13-17.
HE Wen-yu,HE Jian,REN Wei-xin.A Damage Localization Method Based on Indirectly Identified Mode Shapes[J].Journal of Vibration and Shock,2018,37(24):13-17.
[20]阳 洋,项 超,蒋明真,等.考虑粗糙度影响的桥梁损伤识别间接测量方法[J].中国公路学报,2019,32(1):99-106,126.
YANG Yang,XIANG Chao,JIANG Ming-zhen,et al.Bridge Damage Identification Method Considering Road Surface Roughness by Using Indirect Measurement Technique[J].China Journal of Highway and Transport,2019,32(1):99-106,126.
[21]阳 洋,蒋明真,王立磊,等.考虑粗糙度影响间接测量梁刚度的损伤识别方法参数研究[J].建筑结构学报,2019,40(6):147-154,174.
YANG Yang,JIANG Ming-zhen,WANG Li-lei,et al.Parametric Study on Stiffness Damage Identification Method of Bridge Considering Road Roughness[J].Journal of Building Structures,2019,40(6):147-154,174.
[22]CHANG K C,WU F B,YANG Y B.Effect of Road Surface Roughness on Indirect Approach for Measuring Bridge Frequencies from a Passing Vehicle[J].Interaction and Multiscale Mechanics,2010,3(4):299-308.
[23]ELHATTAB A,UDDIN N.Drive-by Bridge Damage Monitoring:Concise Review[J].Civil Engineering Research Journal,2017,1(1):555555.

Memo

Memo:
-
Last Update: 2022-03-20