A Time-Space Dual Adaptive Uncoupled Method for Supersonic Combustion

IF 1.8 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal for Numerical Methods in Fluids Pub Date : 2024-11-18 DOI:10.1002/fld.5351
Junjie Wu, Xun Xu, Xuke Zhang, Bin Zhang
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Abstract

High computational complexity due to rapidly increasing numerical stiffness is a difficult problem for simulating a supersonic reactive flow by using the uncoupled method. On the basis of our previous work, this paper proposes a dual adaptive method to ensure high calculation efficiency and good robustness in simulating stiff cases. The principle of this method is to realize adaptive coordination for the advection and reaction time steps in accordance with the non-uniform feature of stiffness in the space and time dimensions. The proposed method can advance by a small time step in strong stiffness while with a large one in weak stiffness through the “prediction-correction-recovery” strategy. Some classical problems are chosen to verify the performance of the proposed method. The proposed method improved the computation efficiency by at least 30 % $$ 30\% $$ comparing with the previous method [1] and widened the error tolerance of the initial time step.

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超声速燃烧的时空双自适应解耦方法
数值刚度迅速增加,计算复杂度高,是用非耦合方法模拟超声速反应流的难题。本文在前人工作的基础上,提出了一种双自适应方法,以保证高计算效率和良好的鲁棒性。该方法的原理是根据刚度在空间和时间维度上的非均匀性,实现平流和反应时间步长的自适应协调。该方法采用“预测-修正-恢复”策略,在强刚度条件下实现小时间步进,在弱刚度条件下实现大时间步进。选择一些经典问题来验证所提方法的性能。该方法将计算效率提高了至少30% % $$ 30\% $$ comparing with the previous method [1] and widened the error tolerance of the initial time step.
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来源期刊
International Journal for Numerical Methods in Fluids
International Journal for Numerical Methods in Fluids 物理-计算机:跨学科应用
CiteScore
3.70
自引率
5.60%
发文量
111
审稿时长
8 months
期刊介绍: The International Journal for Numerical Methods in Fluids publishes refereed papers describing significant developments in computational methods that are applicable to scientific and engineering problems in fluid mechanics, fluid dynamics, micro and bio fluidics, and fluid-structure interaction. Numerical methods for solving ancillary equations, such as transport and advection and diffusion, are also relevant. The Editors encourage contributions in the areas of multi-physics, multi-disciplinary and multi-scale problems involving fluid subsystems, verification and validation, uncertainty quantification, and model reduction. Numerical examples that illustrate the described methods or their accuracy are in general expected. Discussions of papers already in print are also considered. However, papers dealing strictly with applications of existing methods or dealing with areas of research that are not deemed to be cutting edge by the Editors will not be considered for review. The journal publishes full-length papers, which should normally be less than 25 journal pages in length. Two-part papers are discouraged unless considered necessary by the Editors.
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