TY  - JOUR
PY  - 2019//
TI  - Uncertainty quantification in vehicle dynamics
JO  - Vehicle system dynamics
A1  - Funfschilling, Christine
A1  - Perrin, Guillaume
SP  - 1062
EP  - 1086
VL  - 57
IS  - 7
N2  - This paper presents a review of various works that highlight the importance of introducing the variability of the road-track/vehicle system into dynamic simulations as soon as this latter is meant to be predictive. The first section of the paper presents the Uncertainty Quantification, Verification and Validation method (UQ-VV). This latter proposes tools to model uncertainties, to associate a confidence to the prediction of quantities of interest and to estimate the probability of occurrence of different scenarios. The method is illustrated by various examples mainly from the rail domain but also from the road sector. The second section summarises application examples of predictive modelling, robust optimisation and calibration.<p />  <p>Language: en</p>
LA  - en
SN  - 0042-3114
UR  - http://dx.doi.org/10.1080/00423114.2019.1601745
ID  - ref1
ER  -