Zongyang Li , Lin Bi , He Gao , Hao Wang , Qiang Ma
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引用次数: 0
Abstract
The theory of rarefied flow stability analysis provides essential theoretical support for predicting high-altitude transitions in aircraft and enhancing the performance of micro-electro mechanical systems (MEMS), offering significant scientific and engineering value. This paper introduces a linear stability analysis method based on a finite difference method of the Boltzmann-BGK model, applicable to flows ranging from rarefied to continuous. The method demonstrates high computational efficiency, achieving nearly threefold improvement over spectral method commonly used in stability analysis. As gas rarefaction increases, the efficiency gains become more pronounced. However, spurious spectra may emerge when calculating eigenvalues with finite difference methods. Stability analysis of rarefied Couette flow over a flat plate reveals that increasing the finite difference method's order or modifying the spatial grid point distribution can quickly identify spurious modes. Aligning the grid distribution with the actual physical flow also enhances computational accuracy. Consequently, this difference method can provide high-quality computational results for high Mach number or strongly non-equilibrium flows.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.