Zhao Su, Ovadia Jeremy, Liu Xinfeng, Zhang Yong-Tao, Nie Qing
Department of Mathematics, University of California at Irvine, Irvine, CA 92697.
J Comput Phys. 2011 Jul;230(15):5996-6009. doi: 10.1016/j.jcp.2011.04.009.
For reaction-diffusion-advection equations, the stiffness from the reaction and diffusion terms often requires very restricted time step size, while the nonlinear advection term may lead to a sharp gradient in localized spatial regions. It is challenging to design numerical methods that can efficiently handle both difficulties. For reaction-diffusion systems with both stiff reaction and diffusion terms, implicit integration factor (IIF) method and its higher dimensional analog compact IIF (cIIF) serve as an efficient class of time-stepping methods, and their second order version is linearly unconditionally stable. For nonlinear hyperbolic equations, weighted essentially non-oscillatory (WENO) methods are a class of schemes with a uniformly high-order of accuracy in smooth regions of the solution, which can also resolve the sharp gradient in an accurate and essentially non-oscillatory fashion. In this paper, we couple IIF/cIIF with WENO methods using the operator splitting approach to solve reaction-diffusion-advection equations. In particular, we apply the IIF/cIIF method to the stiff reaction and diffusion terms and the WENO method to the advection term in two different splitting sequences. Calculation of local truncation error and direct numerical simulations for both splitting approaches show the second order accuracy of the splitting method, and linear stability analysis and direct comparison with other approaches reveals excellent efficiency and stability properties. Applications of the splitting approach to two biological systems demonstrate that the overall method is accurate and efficient, and the splitting sequence consisting of two reaction-diffusion steps is more desirable than the one consisting of two advection steps, because CWC exhibits better accuracy and stability.
对于反应扩散对流方程,反应项和扩散项产生的刚性通常要求时间步长非常受限,而非线性对流项可能会在局部空间区域导致陡峭的梯度。设计能够有效处理这两个难题的数值方法具有挑战性。对于同时具有刚性反应项和扩散项的反应扩散系统,隐式积分因子(IIF)方法及其高维类似物紧致IIF(cIIF)是一类有效的时间推进方法,其二阶版本是线性无条件稳定的。对于非线性双曲方程,加权基本无振荡(WENO)方法是一类在解的光滑区域具有一致高阶精度的格式,它也能够以准确且基本无振荡的方式解决陡峭梯度问题。在本文中,我们使用算子分裂方法将IIF/cIIF与WENO方法相结合来求解反应扩散对流方程。具体而言,我们将IIF/cIIF方法应用于刚性反应项和扩散项,并将WENO方法应用于两种不同分裂顺序下的对流项。对两种分裂方法的局部截断误差计算和直接数值模拟表明了分裂方法的二阶精度,线性稳定性分析以及与其他方法的直接比较揭示了其出色的效率和稳定性。将分裂方法应用于两个生物系统表明,整体方法准确且高效,由两个反应扩散步骤组成的分裂顺序比由两个对流步骤组成的分裂顺序更可取,因为CWC表现出更好的精度和稳定性。