What are some of the challenges and limitations of DNS for CFD applications?
Computational fluid dynamics (CFD) is a powerful tool for simulating complex flows and phenomena, such as turbulence, heat transfer, combustion, and multiphase flows. However, not all CFD methods are equally accurate or efficient, and some have inherent challenges and limitations that affect their applicability and performance. One of the most advanced and rigorous CFD methods is direct numerical simulation (DNS), which aims to resolve all the relevant scales of motion in the flow without any modeling or approximation. However, DNS also has some drawbacks that make it impractical or impossible for many real-world problems. In this article, you will learn about some of the challenges and limitations of DNS for CFD applications, and how they can be overcome or mitigated.