Stochastic Responses of Vehicle-Bridge Coupling System

被引:0
|
作者
Lin Min [1 ]
Zhang Xiangwei [2 ]
Chen Siyuan [2 ]
机构
[1] Guangdong Coll Ind & Commerce, Guangzhou 510510, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Guangzhou 510006, Guangdong, Peoples R China
来源
SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4 | 2012年 / 178-181卷
关键词
Pseudo Excitation Method; Computer Simulation; Active suspension; Multi-body dynamic; Ride performance simulation;
D O I
10.4028/www.scientific.net/AMM.178-181.2312
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper,we want to obtain the research of virtual vehicle-birdge coupling system, a vehicle-bridge coupling model was established based on the multi-point Pseudo Excitation Method model, and then the simulation result was gained by ANSYS. First,a detailed multi-body dynamic model of the vehicle was established by using ADAMS/VIEW software package; secondly, a stochastic controller was designed for active suspension system and worked out by means of Matlab/Simulink, the proposed control algorithm was integrated with the multi-body dynamic vehicle model and the coupling system simulations could be performed repeatedly until a satisfactory controller was achieved, the system was compared with a conventional passive one. Simulation results showed that the proposed active suspension considerably improved both the ride and handling performance of the vehicle.
引用
收藏
页码:2312 / +
页数:2
相关论文
共 50 条
  • [21] The Influence of the Initial Condition on the Vehicle-bridge Coupling Vibration
    An, Hui-Feng
    Zhang, Yuan
    Fan, Bei-Bei
    International Conference on Mechanics, Building Material and Civil Engineering (MBMCE 2015), 2015, : 776 - 781
  • [22] Research on Vehicle-Bridge Coupling Vibration of Road Train
    Zhang, Hao
    Li, Yue
    Zong, Cheng-Qiang
    Ou, Chuan-Jin
    Li, Bing-Tao
    CICTP 2020: TRANSPORTATION EVOLUTION IMPACTING FUTURE MOBILITY, 2020, : 2545 - 2557
  • [23] Dynamical test and vehicle-bridge coupling analysis of LaSa River Bridge
    School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
    J Vib Shock, 2007, 11 (129-132):
  • [24] A deep learning model for predicting the stochastic responses of vehicle-bridge system based on temporal convolutional network and Gaussian process
    He, Xuhui
    Zhao, Yongshuai
    Shi, K.
    Cai, Chenzhi
    ENGINEERING STRUCTURES, 2025, 328
  • [25] Research on Dynamic Behavior of Vehicle-bridge System
    Wu Yanhong
    Han Guangcai
    Liu Zhiqiang
    Bian Fuguo
    ADVANCES IN CIVIL ENGINEERING II, PTS 1-4, 2013, 256-259 : 1462 - +
  • [26] Stochastic vibration of the vehicle-bridge system subject to non-uniform ground motions
    Zhu, D. Y.
    Zhang, Y. H.
    Kennedy, D.
    Williams, F. W.
    VEHICLE SYSTEM DYNAMICS, 2014, 52 (03) : 410 - 428
  • [27] Parameter analysis of vehicle-bridge coupling of half through CFST arch bridge due to vehicle
    School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China
    不详
    Key Eng Mat, (31-41):
  • [28] Research on Vehicle-Bridge Coupling Vibration and Impact Coefficient of Highway Suspension Bridge
    Wu, Fangwen
    Zheng, Wei
    Luo, Jianfei
    Cai, Cheng
    CICTP 2020: ADVANCED TRANSPORTATION TECHNOLOGIES AND DEVELOPMENT-ENHANCING CONNECTIONS, 2020, : 1318 - 1329
  • [29] Reliability-based vehicle weight limit determination for urban bridge network subjected to stochastic traffic flow considering vehicle-bridge coupling
    Chen, Shi-Zhi
    Feng, De-Cheng
    Sun, Zhen
    ENGINEERING STRUCTURES, 2021, 247
  • [30] VEHICLE-BRIDGE INTERACTION
    DAHLBERG, T
    VEHICLE SYSTEM DYNAMICS, 1984, 13 (04) : 187 - 206