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Some Numerical Methods and Comparisons for Solving Mathematical Model of Surface Decontamination by Disinfectant Solution

机译:消毒液表面净化数学模型求解的一些数值方法与比较

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A mathematical model is considered to determine the effectiveness of disinfectant solution for surface decontamination. The decontamination process involved the diffusion of bacteria into disinfectant solution and the reaction of the disinfectant killing effect. The mathematical model is a reaction-diffusion type. Finite difference method and method of lines with fourth-order Runge-Kutta method are utilized to solve the model numerically. To obtain stable solutions, von Neumann stability analysis is employed to evaluate the stability of finite difference method. For stiff problem, Dormand-Prince method is applied as the estimated error of fourth-order Runge-Kutta method. MATLAB programming is selected for the computation of numerical solutions. From the results obtained, fourth-order Runge-Kutta method has a larger stability region and better accuracy of solutions compared to finite difference method when solving the disinfectant solution model. Moreover, a numerical simulation is carried out to investigate the effect of different thickness of disinfectant solution on bacteria reduction. Results show that thick disinfectant solution is able to reduce the dimensionless bacteria concentration more effectively
机译:考虑使用数学模型来确定消毒液对表面净化的有效性。去污过程涉及细菌向消毒液中的扩散以及消毒剂杀灭作用的反应。数学模型是反应扩散型的。利用有限差分法和采用四阶Runge-Kutta方法的线法对模型进行数值求解。为了获得稳定的解,采用冯·诺依曼稳定性分析来评估有限差分法的稳定性。对于刚性问题,采用Dormand-Prince方法作为四阶Runge-Kutta方法的估计误差。选择MATLAB编程进行数值解的计算。根据所得结果,与有限差分法求解消毒液模型相比,四阶Runge-Kutta方法具有较大的稳定性区域和较高的求解精度。此外,进行了数值模拟,以研究不同厚度的消毒液对细菌减少的影响。结果表明,浓稠的消毒液能够更有效地减少无因次细菌的浓度

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