Sensitivity Analysis of Nonlinear Railway Vehicle Models Using Linearized Proxy Analyses

2017 ◽  
pp. 155-158 ◽  
Author(s):  
J. Larivière ◽  
S. Cogan ◽  
P. L. Green ◽  
E. Foltête ◽  
G. Ham-Livet
Keyword(s):  
Sensitivity Analysis ◽  
Railway Vehicle

Multi-body dynamics-based sensitivity analysis for a railway vehicle

2014 ◽  
Vol 229 (5) ◽  
pp. 518-529
Author(s):  
Guofu Ding ◽  
Yong He ◽  
Yisheng Zou ◽  
Rong Li ◽  
Xiaojia Ma ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Railway Vehicle ◽  
Body Dynamics ◽  
Multi Body

scholarly journals Sensitivity analysis to assess the influence of the inertial properties of railway vehicle bodies on the vehicle's dynamic behaviour

2013 ◽  
Vol 51 (2) ◽  
pp. 251-279 ◽  
Author(s):  
Berta Suarez ◽  
Jesus Felez ◽  
Joaquin Maroto ◽  
Pablo Rodriguez
Keyword(s):  
Sensitivity Analysis ◽  
Dynamic Behaviour ◽  
Railway Vehicle ◽  
Vehicle Bodies

scholarly journals Sensitivity analysis of the critical speed in railway vehicle dynamics

2014 ◽  
Vol 52 (sup1) ◽  
pp. 272-286 ◽  
Author(s):  
D. Bigoni ◽  
H. True ◽  
A.P. Engsig-Karup
Keyword(s):  
Sensitivity Analysis ◽  
Vehicle Dynamics ◽  
Critical Speed ◽  
Railway Vehicle

Global Sensitivity Analysis of Railway Vehicle Dynamics on Curved Tracks

2014 ◽  
Author(s):  
Daniele Bigoni ◽  
Allan P. Engisg-Karup ◽  
Hans True
Keyword(s):  
Sensitivity Analysis ◽  
Vehicle Dynamics ◽  
Critical Speed ◽  
Railway Vehicle ◽  
Model Parameters ◽  
Sensitivity Indices ◽  
Curved Track ◽  
Low Dimensional ◽  
Global Uncertainty ◽  
Total Sensitivity

This work addresses the problem of the reliability of simulations for realistic nonlinear systems, by using efficient techniques for the analysis of the propagation of the uncertainties of the model parameters through the dynamics of the system. We present the sensitivity analysis of the critical speed of a railway vehicle with respect to its suspension design. The variance that stems from parameter tolerances of the suspension is taken into account and its propagation through the dynamics of a full car with a couple of two-axle Cooperrider bogies running on curved track is studied. Modern Uncertainty Quantification methods, such as Stochastic Collocation and Latin Hypercube, are employed in order to assess the global uncertainty in the computation of the critical speed. The sensitivity analysis of the critical speed to each parameter and combination of parameters is then carried out in order to quantify the importance of different suspension components. This is achieved using combined approaches of sampling methods, ANOVA expansions, Total Sensitivity Indices and Low-dimensional Cubature Rules.

Variance-Based Wheel/Rail Contact Sensitivity Analysis in Respect of Wheelset Dynamics

2015 ◽  
Author(s):  
Seyed Milad Mousavi Bideleh ◽  
Viktor Berbyuk
Keyword(s):  
Sensitivity Analysis ◽  
Contact Mechanics ◽  
Contact Force ◽  
State Vector ◽  
Contact Point ◽  
Railway Vehicle ◽  
Vehicle Speed ◽  
Normal Contact ◽  
Normal Contact Force ◽  
Global Sensitivity

To get a deep insight into bogie suspension design, it is important to identify those wheelset dynamics states and running conditions that can influence contact mechanics and wear, remarkably. In this regard, global sensitivity analysis of wheel/rail contact creepages, forces, and wear with respect to wheelset dynamics states, vehicle speed, and normal contact force is scrutinized. The Gaussian quadrature integrals together with multiplicative dimension reduction method (M-DRM) are employed to approximate the global sensitivity indices of wheel/rail contact mechanics. Using simulation results of a one car railway vehicle model, a feasible state vector is chosen as the cut center for sensitivity analysis of a single rigid wheelset with 6 degrees of freedom. The state vector, speed, and normal contact force are varied around the cut center according to a predefined set of independent and identically distributed random numbers. A computational model is developed to attain the contact point positions on wheel and rail as well as nonlinear creepages. The corresponding contact stimuli vector is obtained using FASTSIM algorithm and wear is modelled as the energy dissipation in the contact patch. The wheelset dynamics effects on wheel/rail contact mechanics are then explored. The results showed wear is mostly sensitive with respect to yaw motion and lateral speed of the wheelset. Such an analysis provides informative data that can be used in vibration control and suspension design in railway applications.

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