### Skapa referens, olika format (klipp och klistra)

**Harvard**

Sabartova, Z., Jacobson, B. och Lindroth, P. (2015) *A joint model of vehicle, tyres, and operation for the optimization of truck tyres*.

** BibTeX **

@conference{

Sabartova2015,

author={Sabartova, Zuzana and Jacobson, Bengt and Lindroth, Peter},

title={A joint model of vehicle, tyres, and operation for the optimization of truck tyres},

booktitle={Proceedings of the 4th International Tyre Colloquium},

isbn={978-1-84469-031-2},

pages={177-186},

abstract={This paper introduces the truck tyres selection optimization problem, which is to be solved in a research project, the overall goal of which is to identify—for each vehicle and each operating environment specification—an optimal tyre configuration. The paper focuses on the joint vehicle, tyres, and operating environment model developed within the project. The tyres are modelled using regression models of lateral and vertical stiffness of the tyre and a computationally efficient model of the rolling resistance coefficient (RRC) based on a radial basis function interpolation of sample points, which are evaluated by a finite element model of the tyre. The interpolation is combined with existing
expert knowledge about the true RRC function. The joint model developed is validated through investigations of how certain functional properties, such as the fuel consumption, vary with the tyre design variables as well as with some operating parameters. The validation results show that the model developed approximates the tyre-related functions well enough and can be used in the truck tyres selection optimization problem.},

year={2015},

}

** RefWorks **

RT Conference Proceedings

SR Print

ID 215981

A1 Sabartova, Zuzana

A1 Jacobson, Bengt

A1 Lindroth, Peter

T1 A joint model of vehicle, tyres, and operation for the optimization of truck tyres

YR 2015

T2 Proceedings of the 4th International Tyre Colloquium

SN 978-1-84469-031-2

SP 177

OP 186

AB This paper introduces the truck tyres selection optimization problem, which is to be solved in a research project, the overall goal of which is to identify—for each vehicle and each operating environment specification—an optimal tyre configuration. The paper focuses on the joint vehicle, tyres, and operating environment model developed within the project. The tyres are modelled using regression models of lateral and vertical stiffness of the tyre and a computationally efficient model of the rolling resistance coefficient (RRC) based on a radial basis function interpolation of sample points, which are evaluated by a finite element model of the tyre. The interpolation is combined with existing
expert knowledge about the true RRC function. The joint model developed is validated through investigations of how certain functional properties, such as the fuel consumption, vary with the tyre design variables as well as with some operating parameters. The validation results show that the model developed approximates the tyre-related functions well enough and can be used in the truck tyres selection optimization problem.

LA eng

OL 30