4.7 Article

Stability and dynamics of the flow past a bullet-shaped blunt body moving in a pipe

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Summary: Improved turbulence modeling remains a major open problem in mathematical physics due to the multiscale nature of turbulence. This study presents a data-driven modeling approach to approximate turbulent fluctuations by learning nonlinear models of coherent structures. Experimental results on a high-Reynolds number turbulent wake validate the effectiveness of the proposed approach in reproducing empirical power spectra and probability distributions. The interpretable model also provides insights into the physical mechanisms underlying the symmetry-breaking behavior in the wake. This work suggests a potential path to low-dimensional models of globally unstable turbulent flows from experimental measurements, with broad implications for other multiscale systems.

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