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Fuzzy modelling of wagon wheel unloading due to longitudinal impact forces

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conference contribution
posted on 2017-12-06, 00:00 authored by Russel Stonier, Sita Kuppa, Peter Thomas, Colin ColeColin Cole
In this paper a fuzzy model is developed to predict wagon wheel unloading due to wagon body and bogie pitch modes induced by longitudinal impact forces. Data was obtained using the wagon dynamics simulation package, VAMPIRE [R] with a wagon model typical of wagons in Australian freight service. Simulations were completed for 31 states of wagon body mass from empty to maximum load, 8 to 62 tonne and 31 states of longitudinal force were applied making 961 scenarios. Four 2-input 1-output fuzzy systems were developed to predict wheel unloading for each axle using wagon mass and the impact force magnitude as inputs. A cooperative co-evolutionary algorithm was used to determine a complete set fuzzy rules for this system together with defining fuzzy set definitions. The fuzzy model produced was then evaluated for its suitability as a predictive model.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Start Page

59

End Page

64

Number of Pages

6

Start Date

2005-01-01

ISBN-10

0791837521

Location

Colorado, USA

Publisher

American Society of Mechanical Engineers

Place of Publication

New York, N.Y.

Peer Reviewed

  • Yes

Open Access

  • No

External Author Affiliations

Centre for Railway Engineering; Faculty of Informatics and Communication; TBA Research Institute;

Era Eligible

  • Yes

Name of Conference

Joint ASME/IEEE Railroad Conference