Atif Mohammad, Kolluru Praveen Kumar, Thantanapally Chakradhar, Ansumali Santosh
Engineering Mechanics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bangalore 560064, India.
SankhyaSutra Labs Private Limited, Bangalore 560064, India.
Phys Rev Lett. 2017 Dec 15;119(24):240602. doi: 10.1103/PhysRevLett.119.240602. Epub 2017 Dec 14.
The entropic lattice Boltzmann model (ELBM), a discrete space-time kinetic theory for hydrodynamics, ensures nonlinear stability via the discrete time version of the second law of thermodynamics (the H theorem). Compliance with the H theorem is numerically enforced in this methodology and involves a search for the maximal discrete path length corresponding to the zero dissipation state by iteratively solving a nonlinear equation. We demonstrate that an exact solution for the path length can be obtained by assuming a natural criterion of negative entropy change, thereby reducing the problem to solving an inequality. This inequality is solved by creating a new framework for construction of Padé approximants via quadrature on appropriate convex function. This exact solution also resolves the issue of indeterminacy in case of nonexistence of the entropic involution step. Since our formulation is devoid of complex mathematical library functions, the computational cost is drastically reduced. To illustrate this, we have simulated a model setup of flow over the NACA-0012 airfoil at a Reynolds number of 2.88×10^{6}.
熵格玻尔兹曼模型(ELBM)是一种用于流体动力学的离散时空动力学理论,它通过热力学第二定律(H定理)的离散时间版本确保非线性稳定性。在该方法中,通过数值方法强制遵守H定理,这涉及通过迭代求解非线性方程来寻找对应于零耗散状态的最大离散路径长度。我们证明,通过假设负熵变的自然准则,可以获得路径长度的精确解,从而将问题简化为求解一个不等式。通过在适当的凸函数上进行求积来创建一个用于构造帕德逼近的新框架,从而解决该不等式。这个精确解还解决了熵对合步骤不存在时的不确定性问题。由于我们的公式不使用复杂的数学库函数,因此大大降低了计算成本。为了说明这一点,我们模拟了雷诺数为2.88×10^6时NACA - 0012翼型上的流动模型设置。