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- W4317633467 abstract "High-fidelity simulations of flow over a smooth sphere at high Reynolds numbers ranging from $1.0times10^5$ to $3.0times10^5$ are performed using the high-order flux reconstruction method (FR) implemented in the massively parallel high-order solver PyFR. The main goal of this study is to numerically predict the range of drag crisis of smooth spheres and validate the results against experimental data to assess the efficiency of high-order methods for such problems. To ensure that the range for critical Reynolds number is predicted accurately, simulations are performed using 12 meshes with different computational mesh sizes and mesh types at $Re=1.0times10^5$, $Re=2.0times10^5$ and $Re=3.0times10^5$. The results show that drag crisis can be predicted numerically with an almost DNS boundary layer grid resolution and with high (p) polynomial orders. The simulations predict drag coefficients of $C_D=0.4635$ and $C_D=0.1292$ at $Re=2times 10^5$ and $Re=3 times 10^5$, respectively, which confirms that $Re=2times10^5$ and $Re=3times10^5$ are in the range of subcritical and critical Reynolds number. The flow analysis shows that at subcritical $Re$, laminar separation occurs without reattachment, whereas at critical $Re$, there is laminar boundary layer separation, turbulent boundary layer reattachment and turbulent boundary layer separation." @default.
- W4317633467 created "2023-01-21" @default.
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- W4317633467 date "2023-01-19" @default.
- W4317633467 modified "2023-09-29" @default.
- W4317633467 title "Numerical prediction of drag crisis for smooth spheres using a high-order flux reconstruction method" @default.
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- W4317633467 doi "https://doi.org/10.2514/6.2023-2146" @default.
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