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• W2783239489 abstract "To make better use of simulations in the automotive driveline design process there is a need for both improved predictive capabilities of typical system models and increased number of variant evaluations carried out during system concept design phase. A previously developed large-scale multibody rotor dynamical powertrain model that combines detailed linear-elastic finite element components and nonlinear joints is used to more accurately simulate system response modes and their variations across the operating-range. However, the total simulation time is too long to include extensive parameter evaluations during the rapid design iterations, which will have a negative influence on the total understanding of the designed system's behaviour. Therefore this paper is about reducing such a large-scale model to one that runs faster, but without losing the ability to predict the most fundamental system characteristics. Reduction methods considering defined stimuli-response relations are well established and used within the field of control systems, to balance prediction accuracy and evaluation effort, but are not yet commonly applied to large-scaled structural models and analysis of vibrations in continuous and lightly damped structures. Here, an implementation of two such state-space reduction methods into a common computational software workflow is described and their overall efficiency is compared to standard methods. Reductions are applied to two major structural components of the powertrain model. Steady-state simulations are performed for multiple engine speeds and responses related to vehicle noise and vibrations are compared using a quantitative error metric. The prediction accuracy, reduction and response simulation times of different model orders are evaluated, as well as the corresponding mode frequency spectra." @default.
• W2783239489 created "2018-01-26" @default.
• W2783239489 creator A5012239608 @default.
• W2783239489 creator A5043690356 @default.
• W2783239489 date "2018-03-05" @default.
• W2783239489 modified "2023-09-23" @default.
• W2783239489 title "Efficient Component Reductions in a Large-Scale Flexible Multibody Model" @default.
• W2783239489 doi "https://doi.org/10.4271/10-02-01-0001" @default.
• W2783239489 hasPublicationYear "2018" @default.
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