4.7 Article

A linear complementarity method for dynamic analysis of bridges under moving vehicles considering separation and surface roughness

期刊

COMPUTERS & STRUCTURES
卷 154, 期 -, 页码 135-144

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2015.03.015

关键词

Vehicle-bridge system; Vibration; Separation; Linear complementarity problem; Random roughness

资金

  1. National Science Foundation of China [11172056]
  2. National Basic Research Program of China [2014CB046803]

向作者/读者索取更多资源

In the present paper, a linear complementarity method for a vehicle-bridge dynamic system considering separation and random roughness is established. By introducing the linear complementarity relationship between the relative displacement of the wheels and the bridge at the contact points, the dynamic interaction problem of the vehicle-bridge coupled system is transformed into a standard linear complementarity problem, and two models with different connection relations between the wheels and the bridge are proposed; The presented models characterize the system with one unified formulation whether the wheels separate from the bridge or not, and the conventional trial-and-error iterative process in numerical simulation is avoided. In the numerical examples, the proposed method is verified by comparing it with the conventional method, and it is found that the velocity, the vehicle to bridge mass ratio and the road roughness have a significant influence on separation. By considering a vehicle model of three rigid bodies with four wheels and the randomness of the rail roughness in train-track-bridge system, the possibility of separation and the expectation of the maximum separation distance at different velocities are studied. The results show that it is very useful to carry out a stochastic analysis of the system and consider the influence of separation in vehicle and bridge design. (C) 2015 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据