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Time-step coupling for hybrid simulations of multiscale flows

机译:时间步耦合,用于多尺度流的混合模拟

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摘要

A new method is presented for the exploitation of time-scale separation in hybrid continuum-molecular models of multiscale flows. Our method is a generalisation of existing approaches, and is evaluated in terms of computational efficiency and physical/numerical error. Comparison with existing schemes demonstrates comparable, or much improved, physical accuracy, at comparable, or far greater, efficiency (in terms of the number of time-step operations required to cover the same physical time). A leapfrog coupling is proposed between the ‘macro’ and ‘micro’ components of the hybrid model and demonstrates potential for improved numerical accuracy over a standard simultaneous approach. A general algorithm for a coupled time step is presented. Three test cases are considered where the degree of time-scale separation naturally varies during the course of the simulation. First, the step response of a second-order system composed of two linearly-coupled ODEs. Second, a micro-jet actuator combining a kinetic treatment in a small flow region where rarefaction is important with a simple ODE enforcing mass conservation in a much larger spatial region. Finally, the transient start-up flow of a journal bearing with a cylindrical rarefied gas layer. Our new time-stepping method consistently demonstrates as good as or better performance than existing schemes. This superior overall performance is due to an adaptability inherent in the method, which allows the most-desirable aspects of existing schemes to be applied only in the appropriate conditions.
机译:提出了一种在多尺度流混合连续分子模型中利用时间尺度分离的新方法。我们的方法是对现有方法的概括,并根据计算效率和物理/数值误差进行了评估。与现有方案的比较表明,具有相当或更高的物理精度,具有相当或更高的效率(就涵盖相同物理时间所需的时间步操作数而言)。在混合模型的“宏”和“微”组件之间提出了一种跨越式耦合,它展示了通过标准同时方法提高数值精度的潜力。提出了耦合时间步长的通用算法。考虑了三个测试用例,其中在仿真过程中时间标度的分离程度自然变化。首先,由两个线性耦合的ODE组成的二阶系统的阶跃响应。其次,一种微喷射执行器结合了在小流量区域(稀疏性很重要)中的动力学处理与简单的ODE组合,从而在更大的空间区域中实现了质量守恒。最终,带有圆柱形稀薄气体层的轴颈轴承的瞬态启动流。我们新的时间步长方法始终表现出比现有方案更好的性能。这种优越的总体性能归因于该方法固有的适应性,这使得仅在适当条件下才能应用现有方案的最理想方面。

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