Development of a design for a crash energy management system for use in a railway passenger car

Meran, Ahmad Partovi; Baykaşoğlu, Cengiz; Muğan, Ata; Toprak, Tuncer

doi:10.1177/0954409714533321

Cited by 41 publications

(10 citation statements)

References 28 publications

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“…4 Xue et al 5 analysed the structural characteristics of an intermediate rail vehicle and their effects on the crash performance of that vehicle. Meran et al 6 developed a design approach for a crash energy management (CEM) system for the N13-type railway passenger car; the CEM system included honeycomb-structured boxes, primary energy absorbers, shear bolts, a sliding sill mechanism and a fixed sill mechanism. The finite element (FE) method has been widely used to simulate train collisions due to its easy implementation and low computational costs.…”

Section: Introductionmentioning

confidence: 99%

Scaled tests and numerical simulations of rail vehicle collisions for various train sets

Peng

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part F:

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This paper investigates the energy absorption and dissipation pattern in train-to-train collisions. For this purpose, simplified scaled rail vehicle models were designed based on the energy-absorbing characteristics of honeycombbased structures under static loading, and scaled tests were performed under dynamic loading. In this study, a oneeighth-scale model of train-to-train collisions for a three-car set was tested, and the corresponding displacement-time and velocity-time curves were obtained. The extents of energy absorption and dissipation were also calculated. Also, finite element simulations were conducted to simulate one-eighth-scale train collisions for three-car, five-car and eightcar sets. The finite element numerical simulation of scaled train collisions produced results that were consistent with experiment results. The simulation results also indicated that train sets do not significantly affect energy absorption and dissipation pattern. The energy-absorbing structure at the front of a train plays a major role in the collisions. Moving cars absorb slightly more energy than stationary cars in both the scaled test and finite element simulations.

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Section: Introductionmentioning

confidence: 99%

Scaled tests and numerical simulations of rail vehicle collisions for various train sets

Peng

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part F:

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“…In order to examine the accuracy of the FE simulation of vibration, it is essential to establish the energy balance in the simulation [30]. The energy balance equation expressed by Eq.…”

Section: Resultsmentioning

confidence: 99%

Vibration analysis of a novel magnetic-viscous nonlinear passive isolator via finite element simulation

Meram¹,

Önen²

2019

Turk J Elec Eng & Comp Sci

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In this paper, the design and the finite element simulation of a novel magnetic-viscous vibration isolator have been presented. The proposed isolator consists of permanent magnets axially aligned in repulsion position and a viscous damper in parallel with them. The nonlinear spring characteristic of the permanent magnets provides a good damping property with this configuration. Explicit finite element analyses have been conducted to examine the dynamic behavior of the isolator. Output displacements and transmissibility ratios were measured for various magnet configurations, dashpot coefficients, and input displacement excitation frequencies to determine the best damping properties. The results of the finite element modeling revealed that the performance of the isolator is highly sensitive to the quantity of magnets. Isolators with four or more magnets can successfully reduce the output displacement. The results indicate that the isolator significantly reduces the displacement transmissibility in frequencies over the resonant frequency region. It is possible to ensure an infinite operating life for magnet-viscous vibration isolators by protecting the magnets against breakage.

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“…Lightweight energy absorbing structures have been extensively used in road vehicle, railway couches and aircraft designs that help to protect both occupants and vehicle equipment during a crash. [1][2][3][4] Function of these structures in vehicle safety applications is very similar to function of fuses in electric circuit. Namely, when an accident take places, these structures collapse at first, absorb crash energy safely outside of occupant's living regions, and hence play an essential role in passive protection of occupants.…”

Section: Introductionmentioning

confidence: 99%

Multiple objective crashworthiness optimization of circular tubes with functionally graded thickness via artificial neural networks and genetic algorithms

Baykasoğlu

Baykaşoğlu

2016

Proceedings of the Institution of Mechanical Engineers, Part C:

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The objective of this paper is to develop a multiple objective optimization procedure for crashworthiness optimization of circular tubes having functionally graded thickness. The proposed optimization approach is based on finite element analyses for construction of sample design space and verification; artificial neural networks for predicting objective functions values (peak crash force and specific energy absorption) for design parameters; and genetic algorithms for generating design parameters alternatives and determining optimal combination of them. The proposed approach seaminglesly integrates artificial neural networks and genetic algorithms. Artificial neural network acts as an objective function evaluator within the multiple objective genetic algorithms. We have shown that the proposed approach is able to generate Pareto optimal designs which are in a very good agreement with the finite element results.

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Development of a design for a crash energy management system for use in a railway passenger car

Cited by 41 publications

References 28 publications

Scaled tests and numerical simulations of rail vehicle collisions for various train sets

Scaled tests and numerical simulations of rail vehicle collisions for various train sets

Vibration analysis of a novel magnetic-viscous nonlinear passive isolator via finite element simulation

Multiple objective crashworthiness optimization of circular tubes with functionally graded thickness via artificial neural networks and genetic algorithms

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