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WAMR: An adaptive wavelet method for the simulation of compressible reacting flow. Part I. Accuracy and efficiency of algorithm

机译:WAMR:一种自适应小波方法,用于模拟可压缩反应流。第一部分算法的准确性和效率

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摘要

The Wavelet Adaptive Multiresolution Representation (WAMR) method provides a robust method for controlling spatial grid adaptation -- fine grid spacing in regions where a solution varies greatly (i.e., near steep gradients, or near-singularities) and a much coarser grid where the solution varies slowly. Subsequently, a wide range of spatial scales, often demanded in challenging continuum physics problems, can be efficiently captured. Furthermore, the wavelet transform provides a direct measure of local error at each collocation point, effectively producing automatically verified solutions. The method is applied to the solution of unsteady, compressible, reactive flow equations, and includes detailed diffusive transport and chemical kinetics models. Accuracy and performance of the method are examined on several test problems. The sparse grids produced by the WAMR method exhibit an impressive compression of the solution, reducing the number of collocation points used by factors of many orders of magnitude when compared to uniform grids of equivalent resolution.
机译:小波自适应多分辨率表示(WAMR)方法为控制空间网格自适应提供了一种鲁棒的方法-在解决方案变化很大的区域(即接近陡峭的梯度或接近奇异点)和解决方案较粗糙的网格中的精细网格间距变化缓慢。随后,可以有效地捕获在挑战性连续体物理问题中经常需要的各种空间尺度。此外,小波变换可直接测量每个搭配点的局部误差,从而有效地产生自动验证的解。该方法适用于非稳态,可压缩的反应流方程,包括详细的扩散传输和化学动力学模型。在几个测试问题上检查了该方法的准确性和性能。与等效分辨率的均匀网格相比,通过WAMR方法生成的稀疏网格显示出令人印象深刻的解决方案压缩,减少了多个数量级因子所使用的并置点数。

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