Uncertainty Quantification in Vibroacoustic Analysis of a Vehicle Body Using Generalized Polynomial Chaos Expansion
In order to perform reliable vibroacoustic predictions in the early design phase, it is essential to include uncertainties in the simulation process. In this contribution, uncertainties are quantified using the generalized Polynomial Chaos (gPC) expansion in combination with a Finite Element (FE) model of a vehicle body in white. The objective is to particularly investigate the applicability of the gPC method in the industrial context with a high number of uncertain parameters and computationally expensive models. A non-intrusive gPC expansion of first and second order is implemented and the approximation of a stochastic response process is compared to a Latin Hypercube Sampling (LHS) based reference solution with special regard to accuracy and computational efficiency. Furthermore, the method is examined for other input distributions and transferred to other FE models in order to verify the applicability of the gPC method in practical applications.