Drive-by Bridge Damage Detection Using Road Reaction Force

被引:0
|
作者
Elhattab, A. A. [1 ]
Uddin, N. [1 ]
OBrien, E. J. [2 ]
机构
[1] Univ Alabama Birmingham, Birmingham, AL 35294 USA
[2] Univ Coll Dublin, Dublin, Ireland
关键词
VEHICLE;
D O I
暂无
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Bridge structures are subject to continuous degradation, which requires a continuous screening to give an early warning if the bridge becomes unsafe. In recent years, many authors have shifted to instrumentation of passing vehicle rather than the bridge. This approach is referred to as 'drive-by' bridge inspection. This paper introduces a new method in the drive-by bridge concept by using the Bridge Displacement Profile Difference as a damage indicator. The Bridge Displacement Profile Difference history is calculated using a Matlab algorithm which solves the truck equation of motion, knowing the Road Reaction Force on the truck. The bridge is represented as 1D beam model, and a 2D plate model. The study uses a half car model to simulate the instrumented truck. Damage is represented as local loss in structural stiffness. The solution for the Vehicle Bridge Interaction is performed using the LS-Dyna FEA program.
引用
收藏
页码:1188 / 1194
页数:7
相关论文
共 50 条
  • [21] Drive-by damage detection with a TSD and time-shifted curvature
    Jennifer C. Keenahan
    Eugene J. OBrien
    Journal of Civil Structural Health Monitoring, 2018, 8 : 383 - 394
  • [22] Drive-by damage detection with a TSD and time-shifted curvature
    Keenahan, Jennifer C.
    OBrien, Eugene J.
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2018, 8 (03) : 383 - 394
  • [23] Vertical vehicle displacement based drive-by inspection of bridge damage with parameter optimization
    Lan, Yifu
    JOURNAL OF ENGINEERING RESEARCH, 2021, 9 (4B): : 193 - 210
  • [24] Bridge flexural rigidity calculation using measured drive-by deflections
    Martinez, Daniel
    Malekjafarian, Abdollah
    OBrien, Eugene
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2020, 10 (05) : 833 - 844
  • [25] A deep-learning framework for classifying the type, location, and severity of bridge damage using drive-by measurements
    Corbally, Robert
    Malekjafarian, Abdollah
    COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2024, 39 (06) : 852 - 871
  • [26] Bridge flexural rigidity calculation using measured drive-by deflections
    Daniel Martinez
    Abdollah Malekjafarian
    Eugene OBrien
    Journal of Civil Structural Health Monitoring, 2020, 10 : 833 - 844
  • [27] Detection of shellcodes in drive-by attacks using kernel machines
    Cherukuri, Manoj
    Mukkamala, Srinivas
    Shin, Dongwan
    JOURNAL OF COMPUTER VIROLOGY AND HACKING TECHNIQUES, 2014, 10 (03): : 189 - 203
  • [28] Drive-by damage detection methodology for high-speed railway bridges using sparse autoencoders
    de Souza, Edson Florentino
    Braganca, Cassio
    Ribeiro, Diogo
    Bittencourt, Tulio Nogueira
    Carvalho, Hermes
    RAILWAY ENGINEERING SCIENCE, 2024,
  • [29] Possibility of Bridge Inspection through Drive-By Vehicles
    Yang, Mijia
    Liu, Chang
    APPLIED SCIENCES-BASEL, 2021, 11 (01): : 1 - 28
  • [30] A wavelet based drive-by bridge inspection system
    McGetrick, P. J.
    Kim, C. W.
    BRIDGE MAINTENANCE, SAFETY, MANAGEMENT AND LIFE EXTENSION, 2014, : 613 - 621