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02670nam a2200373Ia 4500 |
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0.1007-s11044-022-09822-3 |
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|a 13845640 (ISSN)
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|a Analysis of the model-based corrector approach for explicit cosimulation
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|b Springer Science and Business Media B.V.
|c 2022
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|z View Fulltext in Publisher
|u https://doi.org/10.1007/s11044-022-09822-3
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|a In many industries, the focus of testing is currently shifting away from classical hardware tests to the virtual verification and validation of products. To this end, cosimulation has become a common tool for the simulation and analysis of complex systems that span multiple engineering domains and usually involve multiple, heterogeneous and application-specific simulation environments. In particular, the so-called explicit cosimulation allows a widespread application since it has minimal requirements regarding the capabilities of the tool interfaces. However, explicit cosimulation also poses a numerical challenge, especially when the system includes stiff coupling loops. The model-based corrector approach presented in Haid et al. (The 5th Joint International Conference on Multibody System Dynamics, 2018) provides a method for the efficient cosimulation of such systems. In this article, this model-based corrector approach is extended to additional extrapolation methods. By modeling the cosimulation process through a linear recurrence equation and applying it to the two-mass oscillator test model, the influence of model-based correction on the underlying extrapolation methods in terms of stability, accuracy, and error convergence is analyzed. It is shown that adding model-based correction can significantly improve the overall cosimulation, allowing > 10 times larger macrostep sizes or reducing the cosimulation error by a factor of 10 or more in some cases. © 2022, The Author(s).
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|a Accuracy analysis
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|a Accuracy analysis
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|a Cosimulation
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|a Error convergence
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|a Error convergence
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|a Errors
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|a Explicit cosimulation
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|a Explicit cosimulation
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|a Extrapolation
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|a Extrapolation methods
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|a Hardware test
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|a Model-based correction
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|a Model-based corrections
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|a Model-based OPC
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|a Propagation matrix
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|a Propagation matrix
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|a Stability analysis
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|a Stability analyze
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|a Haid, T.
|e author
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|a Stettinger, G.
|e author
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|a Watzenig, D.
|e author
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|t Multibody System Dynamics
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