The influence of varying input parameters on model validation results

Author:

Götz Gernoth1,Polach Oldrich2

Affiliation:

1. Technische Universität Berlin, Institute of Rail Vehicles, Berlin, Germany

2. Bombardier Transportation (Switzerland) AG, Winterthur, Switzerland

Abstract

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.

Publisher

SAGE Publications

Subject

Mechanical Engineering

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