Modeling the Dynamic Response of a Railway Bridge and Vehicle System

Author(s):  
F.L.M. Beghetto ◽  
J.E. Abdalla Filho
Author(s):  
David H. Weir ◽  
Duane T. McRuer

This paper summarizes applicable theory and data from simulation experiments on the directional control of automobiles subjected to crosswind gust disturbances. Measured driver/vehicle describing functions for several subjects and replications are presented and interpreted. It is shown that the driver's steering outputs can be explained as functions of lateral position and heading, although alternate interpretations involving path-angle and path-rate feedbacks are considered. The results demonstrate that driver/vehicle response properties can be modeled and measured for a class of important closed-loop driving tasks. They provide further direct experimental verification of the applicability of driver/vehicle theory to situations where the driver obtains his information from a real-world visual simulation.


2011 ◽  
Vol 33 (2) ◽  
pp. 635-646 ◽  
Author(s):  
Joakim Wallin ◽  
John Leander ◽  
Raid Karoumi

2011 ◽  
Vol 194-196 ◽  
pp. 1924-1928
Author(s):  
Ao Tian Ju ◽  
Shu Ying Qu ◽  
Xing Min Hou ◽  
Jin Tian Wang

The purpose of high-limit protection rack under railway bridge is to protect railway bridge, and avoid passing vehicles under railway bridge colliding bridge. The paper discusses dynamic response and energy transfer of two different structures by analyzing the internal force, deformation, displacement and energy transfer of the steel tube and concrete-filled steel tube protection racks in collision. The result shows that the displacement of concrete-filled steel tube protection rack is smaller, and it can bear larger impact force and have good effect of energy absorption.


Author(s):  
H. Ansari Ardeh ◽  
M. Tupy ◽  
D. Negrut

This study outlines an approach for speeding up the simulation of the dynamic response of vehicle models that include hysteretic nonlinear tire components. The method proposed replaces the hysteretic nonlinear tire model with a surrogate model that emulates the dynamic response of the actual tire. The approach is demonstrated via a dynamic simulation of a quarter vehicle model. In the proposed methodology, training information generated with a reduced number of harmonic excitations is used to construct the tire hysteretic force emulator using a Neural Network (NN) element. The proposed approach has two stages: a learning stage, followed by an embedding of the learned model into the quarter car model. The learning related main challenge stems from the attempt to capture with the NN element the behavior of a hysteretic element whose response depends on its loading history. The methodology is demonstrated in conjunction with a simple nonlinear quarter vehicle system as well as an ADAMS based model that uses a complex tire element. The results obtained with the surrogate model prove to be accurate and are obtained at a fraction of the CPU time required to handle the original models. The approach proposed is anticipated to be useful for reducing the duration of vehicle simulations, or when a tire model is not available but experimental data can be used to generate a surrogate model.


1974 ◽  
Vol 5 (3) ◽  
pp. 171 ◽  
Author(s):  
D.H. Weir ◽  
D.T. McRuer

2021 ◽  
Vol 28 (3) ◽  
pp. 968-980
Author(s):  
Xiang Liu ◽  
Li-zhong Jiang ◽  
Ping Xiang ◽  
Zhi-peng Lai ◽  
Yu-lin Feng ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document