Project description
Compressible liquid-vapour flow with phase change appears in many natural and technical processes providing a paradigm for multi-scale modelling approaches. By now there are reliable but very expensive Navier-Stokes-type models on a microscopic, detailed-scale level with full resolution of phase boundaries. On the other hand, first-order and thus computationally cheap Baer-Nunziato-type models have been developped to describe the mixture evolution on an averaged scale. However, they loose accuracy for phase-change problems. As a remedy we develop a two-scale model that acts on the averaged scale but incorporates a diffuse-interface model as cell problem. This approach exploits a novel homogenization technique based on Wentzel-Kramers-Brillouin expansions for the detailed-scale flow field. A particular feature of this ansatz is its flexibility to substitute the cell-problem solver by a machine-learned surrogate solver. To ensure essential flow properties like mass/momentum/energy conservation or thermodynamical consistency we will adapt constraint-aware neural networks, in particular the previously developped constraint-resolving layer method that allows an analytical treatment of side conditions. Finally, the implementation will be validated using the FLEXI open-source frameworks.
Project information
Project title | Data-integrated two-scale modelling of compressible multiphase flow |
Project leader | Christian Rohde (Andrea Beck, Bernhard Weigand) |
Project staff | Florian Wendt, doctoral researcher |
Project duration | October 2022 - December 2025 |
Project number | PN 1-9 |
Publications of PN 1-9
2024
- M. Gao, P. Mossier, and C.-D. Munz, “Shock capturing for a high-order ALE discontinuous Galerkin method with applications to fluid flows in time-dependent domains,” Computers & fluids, vol. 269, p. 106124, Jan. 2024, doi: 10.1016/j.compfluid.2023.106124.
- J. Magiera and C. Rohde, “A Multiscale Method for Two-Component, Two-Phase Flow with a Neural Network Surrogate,” Communications in Applied Mathematics and Computation, 2024, doi: 0.1007/s42967-023-00349-8.
- M. Hörl and C. Rohde, “Rigorous Derivation of Discrete Fracture Models for Darcy Flow in the Limit of Vanishing Aperture,” Networks and Heterogeneous Media, vol. 19, Art. no. 1, 2024, doi: 10.3934/nhm.2024006.
- Y. Miao, C. Rohde, and H. Tang, “Well-posedness for a stochastic Camassa-Holm type equation with higher order nonlinearities,” Stochastic Partial Differential Equations: Analysis & Computation, vol. 12, Art. no. 1, 2024, doi: 10.1007/s40072-023-00291-z.
- M. Alkämper, J. Magiera, and C. Rohde, “An Interface-Preserving Moving Mesh in Multiple Space Dimensions,” ACM Transactions in Mathematical Software, vol. 50, Art. no. 1, Mar. 2024, doi: 10.1145/3630000.
2023
- J. Keim, A. Schwarz, S. Chiocchetti, C. Rohde, and A. Beck, “A Reinforcement Learning Based Slope Limiter for Two-Dimensional Finite Volume Schemes,” in Finite volumes for complex applications X. Vol. 2. Hyperbolic and related problems, in Springer Proc. Math. Stat., vol. 433. Springer, Cham, 2023, pp. 209–217. doi: 10.13140/RG.2.2.18046.87363.
- J. Keim, C.-D. Munz, and C. Rohde, “A relaxation model for the non-isothermal Navier-Stokes-Korteweg equations in confined domains,” Journal of Computational Physics, vol. 474, p. 111830, 2023, [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0021999122008932?via%3Dihub
- S. Burbulla, M. Hörl, and C. Rohde, “Flow in Porous Media with Fractures of Varying Aperture,” SIAM J. Sci. Comput, vol. 45, Art. no. 4, 2023, doi: 10.1137/22M1510406.
- M. J. Gander, S. B. Lunowa, and C. Rohde, “Non-Overlapping Schwarz Waveform-Relaxation for Nonlinear Advection-Diffusion Equations,” SIAM J. Sci. Comput., vol. 45, Art. no. 1, 2023, doi: 10.1137/21M1415005.
- C. Müller, P. Mossier, and C.-D. Munz, “A sharp interface framework based on the inviscid Godunov-Peshkov-Romenski equations : Simulation of evaporating fluids,” Journal of computational physics, vol. 473, p. 111737, 2023, doi: 10.1016/j.jcp.2022.111737.
2022
- J. Magiera and C. Rohde, “A molecular–continuum multiscale model for inviscid liquid–vapor flow with sharp interfaces,” Journal of Computational Physics, p. 111551, 2022, doi: https://doi.org/10.1016/j.jcp.2022.111551.
2021
- C. Rohde and H. Tang, “On a stochastic Camassa-Holm type equation with higher order nonlinearities,” J. Dynam. Differential Equations, vol. 33, pp. 1823–1852, 2021, doi: https://doi.org/10.1007/s10884-020-09872-1.
- D. Alonso-Orán, C. Rohde, and H. Tang, “A local-in-time theory for singular SDEs with applications to fluid models with transport noise,” Journal of Nonlinear Science, vol. 31, p. Paper No. 98, 55, 2021.
- C. Rohde and H. Tang, “On the stochastic Dullin-Gottwald-Holm equation: global existence and wave-breaking phenomena,” Nonlinear Differential Equations and Applications, vol. 28, Art. no. 1, 2021, doi: 10.1007/s00030-020-00661-9.
2020
- T. Hitz, J. Keim, C.-D. Munz, and C. Rohde, “A parabolic relaxation model for the Navier-Stokes-Korteweg equations,” Journal of Computational Physics, vol. 421, p. 109714, 2020, doi: https://doi.org/10.1016/j.jcp.2020.109714.
2019
- T. Kuhn, J. Dürrwächter, F. Meyer, A. Beck, C. Rohde, and C.-D. Munz, “Uncertainty quantification for direct aeroacoustic simulations of cavity flows,” J. Theor. Comput. Acoust., vol. 27, Art. no. 1, 2019, doi: https://doi.org/10.1142/S2591728518500445.