Analysis of Colliding Vehicle Interactions for the Passenger Rail Train-to-Train Impact Test

Stringfellow, Richard; Rancatore, Robert J.; Llana, Patricia; Mayville, Ronald A.

doi:10.1115/rtd2004-66037

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…An explicit FEA of the locomotive collision was performed using ABAQUS/Explicit [9,10]. An FEA model was developed to evaluate the performance of the design of a crush zone for an existing passenger rail cab car in [11,12].…”

Section: Introductionmentioning

confidence: 99%

Modelling and analysis of the crush zone of a typical Australian passenger train

Sun

Cole

Dhanasekar

et al. 2012

Vehicle System Dynamics

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In this paper, a three-dimensional nonlinear rigid body model has been developed for the investigation of the crashworthiness of a passenger train using the multibody dynamics approach. This model refers to a typical design of passenger cars and train constructs commonly used in Australia. The highenergy and low-energy crush zones of the cars and the train constructs are assumed and the data are explicitly provided in the paper. The crash scenario is limited to the train colliding on to a fixed barrier symmetrically. The simulations of a single car show that this initial design is only applicable for the crash speed of 35 km/h or lower. For higher speeds (e.g. 140 km/h), the crush lengths or crush forces or both the crush zone elements will have to be enlarged. It is generally better to increase the crush length than the crush force in order to retain the low levels of the longitudinal deceleration of the passenger cars.

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Section: Introductionmentioning

confidence: 99%

Modelling and analysis of the crush zone of a typical Australian passenger train

Sun

Cole

Dhanasekar

et al. 2012

Vehicle System Dynamics

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“…American scholars Richard Stringfellow etc. analysed the dynamic laws during the crash and suggestion was presented [4]. A lot of researches on the structure crashworthiness of energy absorber and single car can be found in China [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization for Crashworthiness of Urban Transit Trains Using Genetic Algorithm

Xie

Luo

2011

AMM

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As it is tough for the current energy absorb devices of urban vehicles to meet the crashworthiness requirements in the collision scenario of 25km/h, a methodology to improve the general crashworthiness is presented. A multi-criteria optimization, with the deformations and accelerations of all cars as the design functions and the force characteristics of end structures of cars as design variables, is defined and the Pareto Fonts are obtained. Then defining energy absorbed as design function, a single criteria optimization is made and the specific goal is achieved. No explicit relationship could be found between the design variables and the design functions, so a crash model of a train with velocity of 25km/h colliding to another train stopped is built and the genetic algorithm is chosen to solve the optimization problems. The results indicate that the crashworthiness performance of the trains is significantly improved and the crashworthiness requirements could be reached finally.

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“…The colliding equipment simulation techniques used to evaluate the conventional train-to-train test [14] are being applied to assure the functioning of the cab car crush zone under the full range of potential test conditions. The modeling will allow further refinement of the design.…”

Section: Standingmentioning

confidence: 99%

Preparations for a train-to-train impact test of crash-energy management passenger rail equipment

Tyrell¹,

Jacobsen²,

Parent³

2005

Proceedings of the 2005 ASME/IEEE Joint Rail Conference, 2005.

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Preparations are ongoing for a full-scale train-to-train impact test of crash-energy management (CEM) equipment, during which a cab car-led passenger consist, initially moving at 30 mph, will impact a standing locomotive-led consist. The colliding consists will be of approximately equal masses. This test is planned for November 2005.The purpose of the full-scale testing program is to define the crashworthiness performance of conventional and CEM passenger equipment. In the train-to-train test of conventional equipment, the lead cab car crushed by nearly 22 feet and overrode the standing locomotive. In the train-to-train test of CEM equipment, the leading end of the impacting cab car is expected to crush by approximately 3 feet and distribute crush to the successive car interfaces. The consist is expected to remain in-line, with no lateral buckling and override modes of deformation. This paper describes the steps being taken to develop a CEM cab car crush zone design, based upon the recently developed and tested coach car crush zone design. The components required for an effective CEM cab car design include a push-back coupler, energy absorbing elements, a crushable anti-climber to manage the interaction with the locomotive, and a cage for preserving the operator's space. Preliminary predictions of the dynamic response of the two consists include the distribution of crush among the cars in the train and the decelerations of the cars. These predictions are compared with the measurements made during the conventional train-to-train test.While the CEM design preserves occupant volume, the secondary impact velocities in the lead cab car and the first coach car may be more severe. Five occupant experiments will be included on the cab car and first coach car of the full-scale train-to-train impact test to ensure that the occupants are protected during the collision. These occupant experiments will include modified versions of forward-facing intercity seats, forward-and rear-facing commuter seats, and facing commuter seats with intervening workstation tables.

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Analysis of Colliding Vehicle Interactions for the Passenger Rail Train-to-Train Impact Test

Cited by 8 publications

References 7 publications

Modelling and analysis of the crush zone of a typical Australian passenger train

Modelling and analysis of the crush zone of a typical Australian passenger train

Optimization for Crashworthiness of Urban Transit Trains Using Genetic Algorithm

Preparations for a train-to-train impact test of crash-energy management passenger rail equipment

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