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Simulation of the mushroom cloud generated from a high-energy explosion using large-eddy simulation

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Abstract

We performed numerical simulations of a 20 kT heavy explosion to predict the rise and diffusion of mushroom cloud after the atmospheric pressure is recovered around the burst point. We proposed a new formulation of governing equations based on the anelastic approximation and density weighted variables to implement the atmospheric stratification by employing potential temperature to account for the effect of atmospheric pressure variation in altitude. To validate the simulation results, we chose similar explosive yield cases performed at the Nevada sites to compare the mushroom cloud height and diameter. Parametric studies were performed by varying the grid size and global subgrid-scale coefficients, Cs, to find the appropriate value that guarantees reliability of simulation results. Based on the optimal simulation results, the cooling process of mushroom cloud and the suppressed ascending air currents around tropopause were investigated.

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Abbreviations

C s :

Smagorinsky SGS coefficient

C p :

Specific heat capacity

f i :

Body force

g :

Gravitational acceleration

L x :

Domain size in x direction

N x :

Grid number in x direction

P :

Pressure

P b :

Atmospheric pressure in altitude

P D :

Hydrodynamic pressure

P 0 :

Ground air pressure

q j :

Residual flux

R :

Gas constant of air

s :

Entropy

T :

Temperature

T b :

Atmospheric temperature in altitude

T i :

Temperature fluctuation

u j :

Velocity in j direction

:

Filtered variable

:

Density-weighted variable

αT :

Eddy diffusivity

β :

Thermal expansion coefficient

θ:

Potential temperature

θb :

Atmospheric potential temperature in altitude

θ:

Potential temperature fluctuation

v T :

Eddy viscosity

p :

Density

p b :

Atmospheric density in altitude

P 0 :

Ground air density

p’ :

Density fluctuation

T ij :

Residual shear stress

References

  1. S. Song, Y. Li, C. Lee and J. Choi, Effect of surface conditions on blast wave propagation, Journal of Mechanical Science and Technology, 30 (9) (2016) 3907–3915.

    Article  Google Scholar 

  2. Y. Kanarska, I. Lomov, L. Glenn and T. Antoun, Numerical simulation of cloud rise phenomena associated with nuclear bursts, Annals of Nuclear Energy, 36 (2009) 1475–1483.

    Article  Google Scholar 

  3. I. Lomov, Simulation of dense and dilute multiphase compressible flows with Eulerian-Lagrangian approach, Proc. of 6th international Conference on Multiphase Flow, Leipzig, Germany (2007).

    Google Scholar 

  4. J. B. Bell, M. S. Day, C. A. Rendleman, S. E. Woosley and M. Ingale, Adaptive low Mach number modeling of nuclear flame microphysics, Journal of Computational Physics, 195 (2003) 677–694.

    Article  Google Scholar 

  5. J. Kim, S. Kim, J. Choi and W. Sim, Simulation of blast wave propagation and mushroom cloud formation by a bomb explosion, 55th AIAA Aerospace Sciences Meeting and Exhibit Journal, Grapevine, Texas, USA (2017).

    Google Scholar 

  6. S. Glasstone and P. J. Dolan, The Effects of Nuclear Weapons, USDoD (1977).

    Google Scholar 

  7. A. W. Vreman, An eddy-viscosity subgrid-scale model for turbulent shear flow: Algebraic theory and applications, Physics of Fluids, 16 (10) (2004) 3670–3681.

    Article  Google Scholar 

  8. H. A. Hawthrone, Compilation of Local Fallout Data from Test Detonations 1945–1962 Extracted from DASA 1251 Volume I-Continental U.S. Tests, Defense Nuclear Agency, Washington, D.C, USA (1979).

    Google Scholar 

  9. P. Bauweraerts and J. Meyers, On the feasibility of using large-eddy simulations for real-time turbulent-flow forecasting in the atmospheric boundary layer, Boundary-Layer Meteorology, 171 (2019) 213–235.

    Article  Google Scholar 

  10. B. J. Hoskins and I. N. James, Fluid Dynamics of the Mid-Latitude Atmosphere, John Wiley & Sons, Ltd. UK (2014).

    Google Scholar 

  11. M. Germano, U. Piomelli, P. Moin and W. H. Cabot, A dynamic subgrid-scale eddy-viscosity model, Physics of Fluids A, 3 (1991) 1760–1765.

    Article  Google Scholar 

  12. J. Smagorinsky, General circulation experiments with the primitive equations, Monthly Weather Review, 91 (3) (1963) 99–164.

    Article  Google Scholar 

  13. M. M. Rai and P. Moin, Direct simulations of turbulent flow using finite-difference schemes, Journal of Computational Physics, 96 (1991) 15–53.

    Article  Google Scholar 

  14. B. P. Leonard, A stable and accurate convective modelling procedure based on quadratic upstream interpolation, Computer Methods in Applied Mechanics and Engineering, 19 (1979) 59–98.

    Article  Google Scholar 

  15. M. Hermann and G. Blanquart, Flux corrected finite volume scheme for preserving scalar boundedness in reacting large-eddy simulations, 43d AIAA Aerospace Sciences Meeting and Exhibit Journal, Reno, Nevada, USA (2005).

    Google Scholar 

  16. M. Frigo and S. G. Johnson, The design and implementation of FFTW3, Proc. of IEEE, 93 (2) (2005) 216–231.

    Article  Google Scholar 

  17. R. J. Ritter, The Newsletter for America’s Atomic Veterans, National Association of Atomic Veterans, Inc., July (2013).

    Google Scholar 

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Acknowledgments

This research was supported by ADD (No. 17-113-601-026).

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Correspondence to Changhoon Lee.

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Recommended by Editor Yang Na

Sungjin Won received his B.S. (2014) from Yonsei University, Seoul, Korea in Mechanical Engineering. He is an integrated Ph.D. student in the Department of Computational Science & Engineering, Yonsei University, Korea. His research interests include large-eddy simulation, immersed boundary methods, and in the area of incompressible fluid dynamics.

Changhoon Lee received his B.S. (1985) and M.S. (1987) from Seoul National University, Seoul, Korea and Ph.D. (1993) from UC Berkeley, USA in Mechanical Engineering. He is a Professor in the Department of Computational Science & Engineering and Department of Mechanical Engineering, Yonsei University, Korea. His research interests include fundamentals of turbulence, particle-turbulence interaction, numerical algorithms, air pollution modeling and stochastic processes.

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Won, S., Lee, C. Simulation of the mushroom cloud generated from a high-energy explosion using large-eddy simulation. J Mech Sci Technol 34, 2443–2453 (2020). https://doi.org/10.1007/s12206-020-0520-x

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  • DOI: https://doi.org/10.1007/s12206-020-0520-x

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