Chapter 7
Numerical Simulation of Generation,
Distribution, and Impact
of a High-Specific Energy Plasma Bunch
on a Barrier
Evgeniy L. Stupitsky , Andrey A. Motorin , and Darya S. Moiseeva
Abstract Physical and comprehensive numerical studies of the generation of plasma
bunches with a high specific energy have been carried out with the use of a plasma gun.
The parameters of the plasma bunch upon exit from the plasma accelerator and during
propagation in the ionosphere (h > 200 km) to considerable distances (≈100 km)
have been calculated. A special numerical algorithm is presented to determine the
results of the impact of a rarefied high-velocity gas flow (∼5 × 10 7 cm/s) on the
surface of crystalline and amorphous solid bodies. Based on the results, the electron
concentration and the scale of the ionized region that formed during the passage of
a high-speed toroidal plasma bunch through the rarefied air were estimated. When
the bunch spreads at a height ∼120 km and a distance ∼50 km, the ionized area with
transverse dimensions of ∼20 km has an electron concentration of ∼6 × 10
8 cm
–3 .
7.1 Introduction
At present, studies on the design and use of plasma guans are in active development.
In Russia, a large cycle of experimental works were carried out in TRINITI on both
the development of generators of plasma bunches with a high specific energy and
the study of their pulsed action on a solid body target. In the USA, there was also a
The work was performed within the state task of the ICAD RAS.
E. L. Stupitsky · A. A. Motorin (B)
Institute for Computer Aided Design of the RAS, 19/18, Vtoraya Brestskaya ul, Moscow 123056,
Russian Federation
e-mail: vansp91@gmail.com
E. L. Stupitsky
e-mail: stup@bk.ru
E. L. Stupitsky · D. S. Moiseeva
Moscow Institute of Physics and Technology (National Research University), 9, Institutsky Per.,
Dolgoprudny, Moscow 141701, Russian Federation
e-mail: moiseevads@rambler.ru
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
L. C. Jain et al. (eds.), Applied Mathematics and Computational Mechanics for Smart
Applications, Smart Innovation, Systems and Technologies 217,
https://doi.org/10.1007/978-981-33-4826-4_7
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