DMD, or Direct Model Decomposition, is a technique used in computational fluid dynamics (CFD) for analyzing and simulating flow-induced noise. It helps break down complex flow fields into simpler components, allowing for a better understanding of how various factors contribute to sound generation in fluid systems. This approach is essential in optimizing designs to minimize noise pollution in various applications.
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