时变热辐射输运的一种改进符号隐式蒙特卡罗方法

IF 0.7 4区 工程技术 Q3 MATHEMATICS, APPLIED
Kai Yan
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引用次数: 1

摘要

符号隐式蒙特卡罗(SIMC)是一种完全隐式计算物质热辐射的方法。然而,这意味着该方法的时间精度是有限的,尽管该方法比Fleck和Cummings的IMC方法更健壮。本文提出了一种新的蒙特卡罗方法,该方法在一个时间步长内可以精确地测量热辐射。我们不像SIMC那样求解非线性方程组,而是用波形松弛法将物质能量平衡方程改写为常微分方程组。我们发现与这些常微分方程相关的初值问题具有解析解,这意味着我们可以将问题转化为求解时间步长结束时材料温度的函数。我们证明了该函数在一个时间步长内是单调的,因此可以用等分法求解该方程。这种计算过程避免了直接求解矩阵方程,而是通过执行外部迭代来收敛它们。通过数值实验验证了该方法的准确性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Modified Symbolic Implicit Monte Carlo Method for Time-Dependent Thermal Radiation Transport
Abstract Symbolic Implicit Monte Carlo (SIMC) is fully implicit in the value of matter temperature used to calculate the thermal emission. However, it means that the temporal precision of this method is limited, despite this method being more robust than Fleck and Cummings’ IMC method. In this article, we develop a new Monte Carlo method which is accurate for the thermal emission in one time step. Instead of solving a system of nonlinear equations as in SIMC, we rewrite the material energy balance equation as a system of ordinary differential equations by a waveform relaxation method. We find that the initial value problem associated with these ordinary differential equations has an analytical solution, meaning that we can convert the problem into solving a function of the material temperature at the end of a time step. We prove that the function is monotonic during a time step, so that a bisection method can be used to solve the equation. This calculation process avoids having to solve the matrix equations directly and instead they are converged by performing an outer iteration. Numerical experiments are performed to validate the accuracy and efficiency of the current approach.
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来源期刊
Journal of Computational and Theoretical Transport
Journal of Computational and Theoretical Transport Mathematics-Mathematical Physics
CiteScore
1.30
自引率
0.00%
发文量
15
期刊介绍: Emphasizing computational methods and theoretical studies, this unique journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, and macroscopic transport phenomena. In addition, the journal encourages articles on uncertainty quantification related to these fields. Offering a range of information and research methodologies unavailable elsewhere, Journal of Computational and Theoretical Transport brings together closely related mathematical concepts and techniques to encourage a productive, interdisciplinary exchange of ideas.
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