Abstract
We presently discuss newly discovered constraints that must be fulfilled by any physically reliable turbulence model. We introduce a framework that allows for the development of new models. Heavy use is made of the mathematical concept of Lie symmetries, which provides an algorithmic way of extracting important physical properties of any given system of governing equations. The analysis presented here unifies, generalizes and extends concepts such as dimensional analysis and tensor invariant modeling, which in the past has been used extensively for turbulence modeling purposes.
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Acknowledgements
The work of Dario Klingenberg is supported by the Excellence Initiative of the German Federal and State Governments and the Graduate School of Computational Engineering at Technical University Darmstadt.
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Klingenberg, D., Oberlack, M., Pluemacher, D. (2019). Symmetry-Based Turbulence Modeling. In: Örlü, R., Talamelli, A., Peinke, J., Oberlack, M. (eds) Progress in Turbulence VIII. iTi 2018. Springer Proceedings in Physics, vol 226. Springer, Cham. https://doi.org/10.1007/978-3-030-22196-6_5
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DOI: https://doi.org/10.1007/978-3-030-22196-6_5
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