Uncertainty Quantification in Vibroacoustic Analysis of a Vehicle
Body Using Generalized Polynomial Chaos Expansion 2020-01-1572
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. The investigations reveal that the gPC expansion is reliably applicable in industrial models. However, the accuracy of the non intrusive based gPC method is highly dependent on the selection of the collocation points. Using the right choice of collocation points, a first order gPC expansion leads to very accurate results compared to sampling-based approaches. Consequently, the gPC methodology allows to efficiently predict uncertainties in industrial models, even with a high number of uncertain parameters.
Johannes D. Schmid, Marinus Luegmair, Kian K. Sepahvand, Steffen Marburg
Technical University of Munich, BMW AG
11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
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