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ERROR ANALYSIS OF A DYNAMIC MODEL ADAPTATION PROCEDURE FOR NONLINEAR HYPERBOLIC EQUATIONS

机译:非线性双曲型方程组动力学模型自适应过程的误差分析

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In order to theoretically validate a dynamic model adaptation method, we consider a simple case where the model error can be thoroughly analyzed. The dynamic model adaptation consists of detecting at each time step the region where a given fine model can be replaced by a corresponding coarse model in an automatic way, without deteriorating the accuracy of the result, and to couple the two models, each being computed on its respective region. Our fine model is a 2 x 2 system which involves a small time scale; setting this time scale to 0 leads to a classical conservation law, the coarse model, with a flux which depends on the unknown and on space and time. The adaptation method provides an intermediate adapted solution which results from the coupling of both models at each time step. In order to obtain sharp and rigorous error estimates for the model adaptation procedure, a simple fine model is investigated, and smooth transitions between fine and coarse models are considered. We refine existing stability results for conservation laws with respect to the flux function which enables us to know how to balance the time step, the threshold for the domain decomposition, and the size of the transition zone. Numerical results are presented at the end and show that our estimate is optimal.
机译:为了从理论上验证动态模型自适应方法,我们考虑了可以彻底分析模型误差的简单情况。动态模型调整包括:在每个时间步上自动检测给定精细模型可以被相应的粗糙模型替换的区域,而不会降低结果的准确性,并耦合两个模型,每个模型均基于它各自的区域。我们的优良模型是一个2 x 2的系统,它涉及的时间范围很小;将此时间比例设置为0会导致一个经典的守恒定律,即粗糙模型,其通量取决于未知数以及时空。适应方法提供了一种中间适应的解决方案,该解决方案是由每个时间步上两个模型的耦合产生的。为了获得针对模型自适应过程的精确准确的误差估计,研究了一个简单的精细模型,并考虑了精细模型和粗糙模型之间的平滑过渡。我们针对通量函数完善了守恒定律的现有稳定性结果,这使我们能够知道如何平衡时间步长,域分解的阈值和过渡区的大小。最后给出了数值结果,表明我们的估计是最优的。

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