Rail vehicle dynamic response to a nonlinear physical ‘in-service’ model of its secondary suspension hydraulic dampers

W. L. Wang, Z. R. Zhou, D. S. Yu, Q.H. Qin, Simon Iwnicki

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

A full nonlinear physical ‘in-service’ model was built for a rail vehicle secondary suspension hydraulic damper with shim-pack-type valves. In the modelling process, a shim pack deflection theory with an equivalent-pressure correction factor was proposed, and a Finite Element Analysis (FEA) approach was applied. Bench test results validated the damper model over its full velocity range and thus also proved that the proposed shim pack deflection theory and the FEA-based parameter identification approach are effective. The validated full damper model was subsequently incorporated into a detailed vehicle dynamics simulation to study how its key in-service parameter variations influence the secondary-suspension-related vehicle system dynamics. The obtained nonlinear physical in-service damper model and the vehicle dynamic response characteristics in this study could be used in the product design optimization and nonlinear optimal specifications of high-speed rail hydraulic dampers.
LanguageEnglish
Pages138-157
Number of pages20
JournalMechanical Systems and Signal Processing
Volume95
Early online date1 Apr 2017
DOIs
Publication statusPublished - 1 Oct 2017

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Shims
Dynamic response
Rails
Hydraulics
Finite element method
Product design
Identification (control systems)
Dynamical systems
Specifications
Computer simulation

Cite this

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title = "Rail vehicle dynamic response to a nonlinear physical ‘in-service’ model of its secondary suspension hydraulic dampers",
abstract = "A full nonlinear physical ‘in-service’ model was built for a rail vehicle secondary suspension hydraulic damper with shim-pack-type valves. In the modelling process, a shim pack deflection theory with an equivalent-pressure correction factor was proposed, and a Finite Element Analysis (FEA) approach was applied. Bench test results validated the damper model over its full velocity range and thus also proved that the proposed shim pack deflection theory and the FEA-based parameter identification approach are effective. The validated full damper model was subsequently incorporated into a detailed vehicle dynamics simulation to study how its key in-service parameter variations influence the secondary-suspension-related vehicle system dynamics. The obtained nonlinear physical in-service damper model and the vehicle dynamic response characteristics in this study could be used in the product design optimization and nonlinear optimal specifications of high-speed rail hydraulic dampers.",
keywords = "Nonlinear modelling, hydraulic damper, shim pack deflection, FEA, in-service parameter, rail vehicle secondary suspension, Ride comfort, curve negotiation stability",
author = "Wang, {W. L.} and Zhou, {Z. R.} and Yu, {D. S.} and Q.H. Qin and Simon Iwnicki",
year = "2017",
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pages = "138--157",
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Rail vehicle dynamic response to a nonlinear physical ‘in-service’ model of its secondary suspension hydraulic dampers. / Wang, W. L.; Zhou, Z. R.; Yu, D. S.; Qin, Q.H.; Iwnicki, Simon.

In: Mechanical Systems and Signal Processing, Vol. 95, 01.10.2017, p. 138-157.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Rail vehicle dynamic response to a nonlinear physical ‘in-service’ model of its secondary suspension hydraulic dampers

AU - Wang, W. L.

AU - Zhou, Z. R.

AU - Yu, D. S.

AU - Qin, Q.H.

AU - Iwnicki, Simon

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KW - Nonlinear modelling

KW - hydraulic damper

KW - shim pack deflection

KW - FEA

KW - in-service parameter

KW - rail vehicle secondary suspension

KW - Ride comfort

KW - curve negotiation stability

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