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arXiv 1104.3697math.NAcs.NAphysics.comp-ph
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多尺度演化偏微分方程的自适应时间分裂方法

Adaptive time splitting method for multi-scale evolutionary partial differential equations

Université Nice Sophia Antipolis(尼斯索菲亚安蒂波利斯大学);Ecole Centrale Paris(巴黎中央理工学院)

Stéphane Descombes, Max Duarte, Thierry Dumont, Violaine Louvet, Marc Massot

AI总结:

提出一种自适应时间分裂技术,通过二阶Strang方法和低阶嵌入分裂方案,实现对刚性演化PDE的有效误差控制,独立于最快物理时间尺度,并应用于非线性化学动力学和纳秒重复脉冲气体放电模拟。

摘要:

本文介绍了一种自适应时间分裂技术,用于求解刚性演化偏微分方程,该技术保证了对模拟的有效误差控制,对于高度非定常问题,独立于最快的物理时间尺度。该策略考虑了一种二阶Strang方法和另一种低阶嵌入分裂方案,该方案考虑了由于时空多尺度现象导致的刚度可能引起的阶数损失。该方案基于方法的精确数值分析和补充数值程序构建,旨在克服基于低阶嵌入方法的自适应时间步进方案在渐近估计无法预测问题动力学时的经典限制。通过非线性化学动力学模型中的刚性传播波以及高度多尺度的纳秒重复脉冲气体放电的数值模拟,评估了该方法在积分误差控制方面的性能,这些模拟展示了该方法在连续放电/后放电阶段一致描述广泛时间尺度和不同物理场景的能力。

英文摘要:

This paper introduces an adaptive time splitting technique for the solution of stiff evolutionary PDEs that guarantees an effective error control of the simulation, independent of the fastest physical time scale for highly unsteady problems. The strategy considers a second order Strang method and another lower order embedded splitting scheme that takes into account potential loss of order due to the stiffness featured by time-space multi-scale phenomena. The scheme is then built upon a precise numerical analysis of the method and a complementary numerical procedure, conceived to overcome classical restrictions of adaptive time stepping schemes based on lower order embedded methods, whenever asymptotic estimates fail to predict the dynamics of the problem. The performance of the method in terms of control of integration errors is evaluated by numerical simulations of stiff propagating waves coming from nonlinear chemical dynamics models as well as highly multi-scale nanosecond repetitively pulsed gas discharges, which allow to illustrate the method capabilities to consistently describe a broad spectrum of time scales and different physical scenarios for consecutive discharge/post-discharge phases.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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