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随机选取法和多波近似在一维浅水方程大时间步长格式中的应用 被引量:2

LTS in Shallow Flows with RCM and Multi-wave Approximation
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摘要 利用黎曼精确解和行波法相结合,在一维浅水方程中实现大时间步长(Large Time Step,LTS)格式,并采用多波近似解决稀疏波断裂的问题,采用随机选取法(Random Choice Method,RCM)解决非线性方程使用LTS格式出现的震荡问题.一系列数值试验发现,通过多波近似和随机选取法对大时间步长格式的改进,提高了计算效率,减小了震荡,取得了很好的计算效果. Exact Riemann solver and wave propagation method are combined to achieve large time-step scheme (LTS) in shallow water flow. Multi-wave approximation is adapted to solve discontinuity of rarefaction, and a random choice method (RCM) is used to eliminate oscillation in nonlinear hyperbolic systems. Efficiency is increased in LTS scheme with multi-wave approximation and random choice method as large Courant-Fridrichs-Lewy (CFL) number is imposed.
出处 《计算物理》 CSCD 北大核心 2013年第5期649-658,共10页 Chinese Journal of Computational Physics
基金 国家973项目(2011CB409901) 国家自然科学基金(51039004)资助项目
关键词 随机选取法 多波近似 大时间步长格式 浅水方程 random choice method (RCM) multi-wave approximation large-time step (LTS) scheme shallow water equations
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