English(EN) Patch-Based 3D Variational Autoencoder for Super-Resolution of Turbulent Channel Flow

新型3D-VAE提升湍流模拟分辨率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-03 04:00

研究人员开发了一种基于块的3D变分自编码器（3D-VAE），以改进湍流通道流模拟的超分辨率。该方法从粗糙数据中重建精细尺度的流动结构，解决了高雷诺数下直接数值模拟的计算成本问题。该3D-VAE模型在约翰霍普金斯大学湍流数据库的数据上进行训练，与传统插值方法相比，在频谱空间误差上降低了三倍，并显示出重建过滤模拟中不存在的频谱内容的潜力。 AI

影响增强了流体动力学研究的模拟能力，可能加速天气建模和航空航天工程等领域的发现。

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arXiv cs.AI TIER_1 English(EN) · Anuraj Maurya · 2026-08-03 04:00

用于湍流通道流超分辨率的基于块的3D变分自编码器

arXiv:2507.22082v2 Announce Type: replace-cross Abstract: Direct numerical simulation (DNS) accurately resolves all spatio-temporal scales of wall-bounded turbulence but becomes prohibitively expensive as the Reynolds number increases. Super-resolution (SR) provides a practical a…

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用于湍流通道流超分辨率的基于块的3D变分自编码器

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