Dynamic response of a cable-stayed bridge subjected to a moving vehicle load

2016 ◽  
Vol 227 (10) ◽  
pp. 2925-2945 ◽  
Author(s):  
M. T. Song ◽  
D. Q. Cao ◽  
W. D. Zhu ◽  
Q. S. Bi
Keyword(s):  
Dynamic Response ◽  
Moving Vehicle ◽  
Cable Stayed Bridge ◽  
Vehicle Load

Dynamic Response of Rigid Pavements Due to Moving Vehicle Load with Acceleration

2008 ◽  
Author(s):  
Changyong Cao ◽  
Wing Gun Wong ◽  
Yang Zhong ◽  
Lam Wah Cheung
Keyword(s):  
Dynamic Response ◽  
Moving Vehicle ◽  
Rigid Pavements ◽  
Vehicle Load

Parametric Study of the Dynamic Response a Cable-Stayed Bridge

2001 ◽  
Vol 84 (7) ◽  
pp. 99-106
Author(s):  
Sven Mayer ◽  
Steven L. McCabe
Keyword(s):  
Dynamic Response ◽  
Parametric Study ◽  
Cable Stayed Bridge

Dynamic Response of the Steel Bridge Deck Thin Surfacing due to Vehicle Load

2010 ◽  
Vol 156-157 ◽  
pp. 677-677
Keyword(s):  
Dynamic Response ◽  
Bridge Deck ◽  
Advanced Materials ◽  
Steel Bridge ◽  
Vehicle Load ◽  
Materials Research

This paper has been published in Advanced Materials Research Volumes 148 - 149, pp 544 http://www.scientific.net/AMR.148-149.544

Dynamic response of cable-stayed bridge under blast load

2016 ◽  
Vol 127 ◽  
pp. 719-736 ◽  
Author(s):  
S.K. Hashemi ◽  
M.A. Bradford ◽  
H.R. Valipour
Keyword(s):  
Dynamic Response ◽  
Blast Load ◽  
Cable Stayed Bridge

A finite element method prediction of the vibration of a bridge subjected to a moving vehicle load

1984 ◽  
Vol 96 (1) ◽  
pp. 45-53 ◽  
Author(s):  
J. Hino ◽  
T. Yoshimura ◽  
K. Konishi ◽  
N. Ananthanarayana
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Moving Vehicle ◽  
Vehicle Load ◽  
Element Method

Effects of Random Road Roughness on Dynamic Impact Factor of Cable-Stayed Bridge Subjected to Moving Vehicle

2021 ◽  
pp. 147-156
Author(s):  
Xuan-Toan Nguyen ◽  
Duy-Thao Nguyen ◽  
Van-Duc Tran ◽  
Thi-Kim-Loan Nguyen
Keyword(s):  
Impact Factor ◽  
Dynamic Impact ◽  
Moving Vehicle ◽  
Cable Stayed Bridge ◽  
Road Roughness ◽  
Dynamic Impact Factor

Dynamic Response of the Steel Bridge Deck Thin Surfacing due to Vehicle Load

2010 ◽  
Vol 148-149 ◽  
pp. 544-547
Author(s):  
Xun Qian Xu ◽  
Ye Yuan Ma ◽  
Guo Qing Wu ◽  
Xiu Mei Gao
Keyword(s):  
Dynamic Response ◽  
Bridge Deck ◽  
Three Dimensional ◽  
Coupled Model ◽  
Interface Layer ◽  
Dynamic Responses ◽  
Steel Bridge ◽  
Vehicle Load ◽  
Moving Vehicles ◽  
Space Technique

Basing on the coupled vibration theory, dynamic behavior of steel bridge deck thin surfacing under rand moving vehicles is studied. A three-dimensional coupled model is carried out for the steel bridges deck thin surfacing and vehicle. A method based on modal superposition and state space technique is developed to solve dynamic response generated by vehicle-surfacing interaction. The dynamic responses of an actual steel bridge deck thin surfacing are studied. The results show that adding epoxy asphalt as a sub coat can improve interface adhesion strength, which would be designed as the interface layer of steel deck thin surfacing.

Bridge Damage Detection Using Quasi-Static Component of Moving Vehicle-Induced Dynamic Response

2020 ◽  
pp. 2042001
Author(s):  
Zhiwei Chen ◽  
Yigui Zhou ◽  
Wen-Yu He ◽  
Mengqi Liu
Keyword(s):  
Dynamic Response ◽  
Damage Detection ◽  
Detection Method ◽  
Damage Index ◽  
Frequency Component ◽  
Critical Signal ◽  
Moving Vehicle ◽  
Damage Scenarios ◽  
Static Component ◽  
Bridge Damage

The critical signal component extracted from the bridge response caused by a moving vehicle is normally used to construct damage index for damage detection. The dynamic response of bridges subjected to moving vehicle includes several components, among which the quasi-static component reflects the inherent characteristics of the bridge. In view of this, this paper presents a bridge damage detection method based on quasi-static component of the moving vehicle-induced dynamic response. First, damage-induced changes of the natural-frequency component, moving-frequency component and quasi-static component responses are investigated via a simply-supported beam bridge. The quasi-static component response is proved to be less sensitive to the moving velocity of the load and more suitable for damage detection. Subsequently, a quasi-static component response extraction method is proposed based on analytical mode decomposition (AMD) and moving average filter (MAF). The extracted quasi-static component response is further employed to localize and quantify damages. Finally, numerical simulations are conducted to examine the feasibility, accuracy and advantages of the proposed damage detection method. The results indicated that the proposed method performs well in different damage scenarios and is insensitive to the moving velocity of the load and road roughness.

Investigation of Effective Parameters on Dynamic Response of Composite Bridge Under Moving Vehicle

2010 ◽  
Author(s):  
Ali Asghar Jafari ◽  
Nader Vahdat Azad
Keyword(s):  
Dynamic Response ◽  
Numerical Solutions ◽  
Damping Ratio ◽  
Mass Parameter ◽  
Equations Of Motion ◽  
Large Mass ◽  
Effective Parameters ◽  
Moving Vehicle ◽  
Vehicle Acceleration ◽  
Composite Bridge

In this paper, the effects of various parameters influencing on the dynamic response of composite bridge are investigated by FEM method. Herein composite bridge with one, two and four degree of freedom for vehicle has been studied. The corresponding Equations of motion are integrated numerically by applying the Newmark’s method. The models were verified by analytical and numerical solutions available for isotropic bridge. The speed of the vehicle, mass ratio, bridge damping on the dynamic deflection and acceleration and effect of composite bridge layup have been analyzed. Bridge damping can significantly decrease the acceleration of the structure, and it is true particularly for higher values of the speed parameters. Dynamic deflection is not influenced by damping changes; however, it also reduces with the increase of the damping ratio. Bridge damping has negligible effect on the vehicle acceleration. The bridge acceleration generally increases with the mass parameter. The vehicle acceleration increases much steeply and reaches much higher values for large mass parameters.

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