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    MULTI-SCALE MODELING AND COMPUTATIONS

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    Zhang_umd_0117E_10831.pdf (2.326Mb)
    No. of downloads: 558

    Date
    2009
    Author
    Zhang, Linbao
    Advisor
    Liu, Jian-Guo
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    Abstract
    In the rarefied gas dynamics, the classic kinetic models are more accurate and complicated, while the fluid models are much simpler but fail in some cases. In this thesis, we propose a new local up-scaling model to couple Euler equations with the kinetic model when the previous up-scaling model in [19] does not apply, e.g. when the Boltzmann equation is solved by the particle method, like DSMC. By means of the first order Chapman-Enskog expansion we propose a new NSLU model to couple the Navier-Stokes equations with the kinetic models. We also propose the zero-moment projection based on the macro-micro decomposition ([34]) to correct the non-fluid part in the up-scaling models. Numerical tests of these local up-scaling models have been done in various multi-scale problems, including the Jin-Xin relaxation model for the traveling shock, 1D1D BGK model for the dynamics of a small perturbation of an equilibrium, 1D3D BGK model for the stationary shock and the simulation of a planar Couette flow by direct simulation of Monte Carlo (DSMC) for the Boltzmann equation. The implicit-explicit scheme for the relaxation models is applied, which is shown to preserve the positiveness of the distribution function, the conservation laws and entropy inequality. Numerical results show that the zero-projection is necessary to ensure the stability and accuracy for the up-scaling models, especially when non-kinetic schemes are applied in the moment equations. NSLU model must be applied to replace the up-scaling model in [19] if the macroscopic approximation is the viscous fluid. The similar scaling exists in the relaxation-time model for the semiconductor device when electric field is low. The DrDiLU model based on drift-diffusion model for the diode is proposed which is similar to NSLU model for the rarefied gas. Numerical experiments show it is stable and accurate compared with the results from the relaxation-time model.
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    http://hdl.handle.net/1903/9877
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    DRUM is brought to you by the University of Maryland Libraries
    University of Maryland, College Park, MD 20742-7011 (301)314-1328.
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