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Challenges in Vibroacoustic Vehicle Body Simulation Including Uncertainties
ISSN: 0148-7191, e-ISSN: 2688-3627
To be published on September 30, 2020 by SAE International in United States
Event: 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference
For many years, the model quality and frequency range of NVH simulation with Finite Element (FE) models have been increased and led to a better vehicle quality. Nowadays, model range and quality are on such a high fidelity and there is often no further improvement, even with extreme modelling and computation effort. So in order to improve the quality of predictions, the next step is to take uncertainties into account. With this approach there are many challenges on the way to valid and useful simulation models and they can be divided into three areas: the input uncertainties, the propagation of uncertainties through the FE model and finally the statistical output quantities. Each of them must be investigated to choose sufficient methods for a valid and fast prediction of vehicle body vibroacoustics. With a discrimination of different types of uncertainties it can be shown that the dimensionality of the corresponding random space is tremendously high. Therefore, a substantial reduction of the dimensionality is crucial. Next step is to choose a proper method to model uncertainties and include them in the FE model. Here, many different methods are available: From well know Monte-Carlo to more special methods like generalized Polynomial Chaos expansion and so going from sampling based to spectral methods. Finally, on the output of these simulation the user gets completely new result like mean value, variance and probability distribution. Therefore, the mindset has to change from comparing deterministic curves and values to an evaluation of stochastic quantities and their relation.