Using the stationary tests of the acceptance process of a rail vehicle to identify the vehicle model parameters

Aizpun, Miguel; Viñolas, Jordi; Alonso, Asier

doi:10.1177/0954409713478592

Cited by 11 publications

(7 citation statements)

References 8 publications

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“…The presented examples show that the validation comparisons sometimes may alter from a model justification to a justification and correction of the measurement inexactness. Uncertainties calculation of a model parameters and error propagation is investigated by Aizpún et al [36]. This method is virtually validated using a model of an Inter-city train operated in Spain.…”

Section: • Difficulty -Bogie Rotational Resistance Testmentioning

confidence: 99%

Simulations of Running Dynamics for Vehicle Acceptance: Application and Validation

Polách¹,

Evans²

2013

Int J Railw Tech

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Multi-body simulation tools are used in rolling stock design and development to optimise the vehicle parameters and to conduct a wide range of investigations. Although the vehicle acceptance is traditionally based on physical testing, the use of simulations as a part of vehicle authorisation is increasing. This state of the art paper reviews the recent status of conditions for the application of simulations in the context of vehicle authorisation and summarises the progress of investigations related to the methodology and criteria for a reliable model validation.

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Section: • Difficulty -Bogie Rotational Resistance Testmentioning

confidence: 99%

Simulations of Running Dynamics for Vehicle Acceptance: Application and Validation

Polách¹,

Evans²

2013

Int J Railw Tech

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“…The use of stationary tests of the acceptance process of a rail vehicle to identify the vehicle model parameters is proposed by Aizpun et al. 5…”

Section: Introductionmentioning

confidence: 99%

“…Evans 4 presents his experience with model validation by comparisons with stationary tests. The use of stationary tests of the acceptance process of a rail vehicle to identify the vehicle model parameters is proposed by Aizpun et al 5 While the previous publications only discuss the experience considering the model validation, few recent publications evaluate new validation methods and propose quantitative validation criteria. Polach and Bo¨ttcher 6 and Polach et al 7,8 propose model validation method developed in the framework of the EU-funded research project DynoTRAIN.…”

Section: Introductionmentioning

confidence: 99%

The influence of varying input parameters on model validation results

Götz

Polách²

2018

Proceedings of the Institution of Mechanical Engineers, Part F:

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This article presents an evaluation of the model validation method provided as the output of the European research project DynoTRAIN and implemented in the recently revised European standard EN 14363. The input parameters of the validation method are varied, namely the section length, number and selection of sections as well as selected parameters of the simulation models. The evaluation shows that a single section providing a large deviation between simulation and measurement can in rare cases influence the overall validation result. Nevertheless, the investigations demonstrate a good robustness, as the final validation result is very rarely influenced by the variation of sections selected for validation, by the use of a higher number of sections than the minimum of 12 or by longer sections than specified for on-track tests according to EN 14363. The validation methodology is also able to recognise errors in vehicle model parameters, if they have a relevant influence on the running dynamics behaviour of the evaluated vehicle.

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“…Evans 4 presented his experience with model validation by comparisons with the stationary tests. The use of stationary tests for the acceptance process of a rail vehicle to identify the vehicle model parameters is proposed by Aizpun et al 5 While the previous publications only discuss the experience considering the model validation, a few recent publications evaluate the new validation methods and propose quantitative validation criteria. Polach and Bo¨ttcher 6 and Polach et al 7,8 proposed a model validation method which can be used for the comparison of simulation with on-track test in the context of vehicle certification.…”

Section: Introductionmentioning

confidence: 99%

“…The use of stationary tests for the acceptance process of a rail vehicle to identify the vehicle model parameters is proposed by Aizpun et al. 5…”

Section: Introductionmentioning

confidence: 99%

Influence of varying the input parameters on the results of model validation

Götz

Polách

2017

Proceedings of the Institution of Mechanical Engineers, Part F:

View full text Add to dashboard Cite

This article presents an evaluation of the model validation method that was provided as the output of the European research project DynoTRAIN and implemented in the recently revised European standard EN 14363. The input parameters of the validation method, namely the section length, number, and selection of sections as well as the selected parameters of the simulation models are varied. The evaluation shows that a single section that provides a large deviation between simulation and measurement can, in rare cases, influence the results of the overall validation. Nevertheless, the investigations demonstrate a good robustness, as the final validation result is very rarely influenced by the variation of sections selected for validation, by the use of a higher number of sections than the minimum of 12, or by longer sections than that specified for on-track tests in accordance with EN 14363. The validation methodology is also able to recognize the errors in vehicle model parameters, if the errors have a relevant influence on the behaviour of the running dynamics of the evaluated vehicle.

show abstract

Using the stationary tests of the acceptance process of a rail vehicle to identify the vehicle model parameters

Cited by 11 publications

References 8 publications

Simulations of Running Dynamics for Vehicle Acceptance: Application and Validation

Simulations of Running Dynamics for Vehicle Acceptance: Application and Validation

The influence of varying input parameters on model validation results

Influence of varying the input parameters on the results of model validation

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