Wheel/rail contact geometry on tight radius curved track: simulation and experimental validation

Sugiyama, Hiroyuki; Tanii, Yoshimitsu; Suda, Yoshihiro; Nishina, Minoru; Komine, Hisanao; Miyamoto, Takefumi; Doi, Hisayo; Chen, Hua

doi:10.1007/s11044-010-9215-x

Cited by 17 publications

(13 citation statements)

References 7 publications

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“…Strategies are also available for solving the contact point search in 3-D, hence considering out-of-plane effects. A simple approach is represented by the 'apparent profile' method [28,108] which assumes perfectly straight rails, whereas more general but possibly more computationally intensive methods are proposed in [128,164,165,216].…”

Section: Wheel-rail Contact Models In a Multibody Dynamics Contextmentioning

confidence: 99%

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

et al. 2020

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A review of the current use of multibody dynamics methods in the analysis of the dynamics of vehicles is given. Railway vehicle dynamics as well as road vehicle dynamics are considered, where for the latter the dynamics of cars and trucks and the dynamics of single-track vehicles, in particular motorcycles and bicycles, are reviewed. Commonalities and differences are shown, and open questions and challenges are given as directions for further research in this field.

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Section: Wheel-rail Contact Models In a Multibody Dynamics Contextmentioning

confidence: 99%

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

et al. 2020

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“…This computations are big and must be done for every contact. To speed up computations, several authors [24,25,26] propose the use of pre-calculated look-up tables to determine the required data. This procedure is tedious and usually requires to introduce some modeling simplifications.…”

Section: Contact Modelmentioning

confidence: 99%

Symbolic multibody methods for real-time simulation of railway vehicles

et al. 2017

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In this work, recently developed state-of-the-art symbolic multibody methods are tested to acurately model a complex railway vehicle. The model is generated using a symbolic implementation of the principle of the virtual power. Creep forces are modeled using a direct symbolic implementation of the standard linear Kalker model. No simplifications, as base parameter reduction, partial-linearization or look-up tables for contact kinematics, are used. An Implicit-Explicit integration scheme is proposed to efficiently deal with the stiff creep dynamics. Hard real-time performance is achieved: the CPU time required for a very stable 1 ms integration time step is 256 µs.

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“…However, even when the multibody formulation is established [26,27] the implementation of the wheel-rail contact is still a complex task. Few works present complete formulations for the implementation of wheel-rail contact models in multibody codes [1,[28][29][30][31][32][33], being common the use of commercial software codes that are used even for benchmarking processes [34,35]. This work aims at presenting a new methodology for non-Hertzian contact models as well as its implementation in general multibody codes.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a non-Hertzian contact model for railway dynamic application

et al. 2019

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Lateral coordinate of the wheel surface xL Length of the strip x,y,z Cartesian coordinates y0 One dimension of the SDEC α Direction of the linear creepage γ Tangent angle of the cross-section γ Right-hand side of the acceleration constraint equations vector δ Penetration magnitude max  Maximum penetration velocity ΔFx Deviation of the longitudinal creep force ΔFy Deviation of the lateral creep force ΔMz Deviation of the spin creep moment Δr Step size for the radial coordinate Δs Width of the strip Δθ Step size for the angular coordinate ε Parameter that takes into account the existing deformation η Normalized lateral creepage θ Angular coordinate κ Curvature λ Lagrange multipliers vector μ Friction coefficient ν Magnitude of the linear creepages ξ Normalized longitudinal creepage σ Poisson ratio υx Longitudinal creepage υy Lateral creepage φ Spin creepage Φq Jacobian matrix of the constraint equations χ Normalized spin creepage ψ Shape factor of SDEC ω Angular velocity vector

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Wheel/rail contact geometry on tight radius curved track: simulation and experimental validation

Cited by 17 publications

References 7 publications

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

State-of-the-art and challenges of railway and road vehicle dynamics with multibody dynamics approaches

Symbolic multibody methods for real-time simulation of railway vehicles

Implementation of a non-Hertzian contact model for railway dynamic application

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