Stability analysis of discrete Boltzmann simulation for supersonic flows: Influencing factors, coupling mechanisms and optimization strategies
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| Format: | Preprint |
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2025
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| _version_ | 1866913882389348352 |
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| author | Wu, Yanhong Gan, Yanbiao Xu, Aiguo Yang, Bin |
| author_facet | Wu, Yanhong Gan, Yanbiao Xu, Aiguo Yang, Bin |
| contents | Supersonic flow simulations face challenges in trans-scale modeling, numerical stability, and complex field analysis due to inherent nonlinear, nonequilibrium, and multiscale characteristics. The discrete Boltzmann method (DBM) provides a multiscale kinetic modeling framework and analysis tool to capture complex discrete/nonequilibrium effects. While the numerical scheme plays a fundamental role in DBM simulations, a comprehensive stability analysis remains lacking. Similar to LBM, complexity mainly lies in the intrinsic coupling between velocity and spatiotemporal discretizations, compared with CFD. This study conducts von Neumann stability analysis to investigate key factors influencing DBM simulation stability, including phase-space discretization, thermodynamic nonequilibrium (TNE) levels, spatiotemporal schemes, initial conditions, and model parameters. Key findings include: (i) the moment-matching approach outperforms the expansion- and weighting-based methods in the test simulations; (ii) increased TNE enhances system nonlinearity and the intrinsic nonlinearity embedded in the model equations, amplifying instabilities; (iii) additional viscous dissipation based on distribution functions improves stability but distorts flow fields and alters constitutive relations; (iv) larger CFL numbers and relative time steps degrade stability, necessitating appropriate time-stepping strategies. To assess the stability regulation capability of DBMs across TNE levels, stability-phase diagrams and probability curves are constructed via morphological analysis within the moment-matching framework. These diagrams identify common stable parameter regions across model orders. This study reveals key factors and coupling mechanisms affecting DBM stability and proposes strategies for optimizing equilibrium distribution discretization, velocity design, and parameter selection in supersonic regimes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_10200 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Stability analysis of discrete Boltzmann simulation for supersonic flows: Influencing factors, coupling mechanisms and optimization strategies Wu, Yanhong Gan, Yanbiao Xu, Aiguo Yang, Bin Fluid Dynamics Supersonic flow simulations face challenges in trans-scale modeling, numerical stability, and complex field analysis due to inherent nonlinear, nonequilibrium, and multiscale characteristics. The discrete Boltzmann method (DBM) provides a multiscale kinetic modeling framework and analysis tool to capture complex discrete/nonequilibrium effects. While the numerical scheme plays a fundamental role in DBM simulations, a comprehensive stability analysis remains lacking. Similar to LBM, complexity mainly lies in the intrinsic coupling between velocity and spatiotemporal discretizations, compared with CFD. This study conducts von Neumann stability analysis to investigate key factors influencing DBM simulation stability, including phase-space discretization, thermodynamic nonequilibrium (TNE) levels, spatiotemporal schemes, initial conditions, and model parameters. Key findings include: (i) the moment-matching approach outperforms the expansion- and weighting-based methods in the test simulations; (ii) increased TNE enhances system nonlinearity and the intrinsic nonlinearity embedded in the model equations, amplifying instabilities; (iii) additional viscous dissipation based on distribution functions improves stability but distorts flow fields and alters constitutive relations; (iv) larger CFL numbers and relative time steps degrade stability, necessitating appropriate time-stepping strategies. To assess the stability regulation capability of DBMs across TNE levels, stability-phase diagrams and probability curves are constructed via morphological analysis within the moment-matching framework. These diagrams identify common stable parameter regions across model orders. This study reveals key factors and coupling mechanisms affecting DBM stability and proposes strategies for optimizing equilibrium distribution discretization, velocity design, and parameter selection in supersonic regimes. |
| title | Stability analysis of discrete Boltzmann simulation for supersonic flows: Influencing factors, coupling mechanisms and optimization strategies |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2504.10200 |