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Mathematical Models and Computer Simulations

Erschienen in:

01.09.2020

Model of Radiation-Induced Thermomechanical Effects in Heterogeneous Finely Dispersed Materials

verfasst von: V. A. Egorova, F. N. Voronin, M. E. Zhukovskiy, M. B. Markov, A. I. Potapenko, R. V. Uskov, D. S. Boykov

Erschienen in: Mathematical Models and Computer Simulations | Ausgabe 5/2020

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Abstract

A complex model for supercomputing the parameters of radiation-induced thermomechanical fields in heterogeneous media of a complex dispersed structure is developed. A technique for calculating the parameters of the photon-electron cascade generated in the object by the interaction of radiation with matter is constructed. A geometric model of the medium with a direct resolution of its microstructure is worked out. The model of the detecting system for the statistical evaluation of the energy deposit of radiation is part of the geometric description of the medium. The continuum mechanics equations taken in the Euler form of the conservation laws are the base for calculating thermomechanical processes. The results of trial simulations in the form of the calculated thermomechanical fields are presented.

Vorheriger Artikel Construction of a Generalized Algorithm for Calculating Diffuse Radiation Configuration Factors

Nächster Artikel Determining the Size of Mosaic Blocks and Anisometry of the Flakes of Artificial Graphite by Magnetoresistance

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M. E. Zhukovskiy and R. V. Uskov, “Hybrid paralleling of the algorithms of radiation cascade transport modelling,” Math. Models Comput. Simul. 7, 601–610 (2015).MathSciNetCrossRef

M. E. Zhukovskiy and R. V. Uskov, “Modeling of interaction between gamma rays and matter on hybrid computers,” Mat. Model. 23 (7), 20–32 (2011).MathSciNetMATH

M. E. Zhukovskiy, S. V. Podolyako, and R. V. Uskov, “Modeling of electron transport in matter with the use of hybrid supercomputers,” Vychisl. Metody Programmir. 12, 152–159 (2011).

V. P. Efremov and A. I. Potapenko, “Thermomechanical processes of composite materials under the action of intense energy fluxes,” High Temp. 48, 881–886 (2010).CrossRef

V. A. Egorova, K. K. Inozemceva, and M. E. Zhukovskiy, “An approach to modeling of the secondary radiation-induced effects in complex technical objects,” KIAM Preprint No. 110 (Keldysh Inst. Appl. Math., Moscow, 2018).

V. Egorova and M. Zhukovskiy, “Handling of the radiative electron emission modeling results by use of the neural networks,” Math. Montisnigri 38, 89–99 (2017).

T. Mitchell, Machine Learning (McGraw-Hill Science, New York, 1997).

V. A. Gasilov, G. A. Bagdasarov, A. S. Boldarev, S. V. Diachenko, E. L. Kartasheva, O. G. Olkhovskaia, S. N. Boldyrev, I. V. Gasilova, and V. A. Shmyrov, “State-of the-Art approach to code development for 3D simulation of plasmadynamics (plasma multiphysics),” Vestn. Ufim. Aviats. Tekh. Univ., Ser. Upravl., Vychisl. Tekh. Inform. 15 (5), 120–129 (2011).

M. Zhukovskiy, S. Podoliako, G.-R. Jaenisch, C. Bellon, and U. Samadurau, “Monte Carlo simulation tool with CAD interface,” Rev. Prog. Quant. Nondestr. Eval. 25, 574–579 (2006).CrossRef

10.

V. P. Zagonov, M. E. Zhukovskii, S. V. Podolyako, M. V. Skachkov, G.-R. Tillack, and K. Bellon, “Boundary description approach application for modeling the X-rays transformation in the computational diagnostics problems,” Mat. Model. 16 (5), 103–116 (2004).

11.

M. Zhukovskiy, S. Podoliako, G.-R. Jaenisch, and C. Bellon, “Monte-Carlo-simulation der Strahlenausbreitung an realen Bauteilgeometrien,” in Proceedings of the German Society for Non-Destructive Testing Annual Conference on NDT in Research, Development and Application, Salzburg, May 17–19,2004.

12.

V. P. Kolgan, “Application of the principle of minimizing the derivative to the construction of finite-difference schemes for computing discontinuous solutions of gas dynamics,” J. Comput. Phys. 230, 2384–2390 (2011).MathSciNetCrossRef

13.

I. M. Sobol, “Uniformly distributed sequences with an additional property of uniformity,” USSR Comput. Math. Math. Phys. 16, 236–242 (1976).MathSciNetCrossRef

14.

M. E. Zhukovskiy, S. V. Podolyako, and R. V. Uskov, “Model of individual collisions for description of electron transport in matter,” Math. Models Comput. Simul. 4, 101–109 (2012).CrossRef

15.

V. Egorova, R. Uskov, and M. Zhukovskiy, “The simulation of the photon-electron cascade on heterogeneous supercomputers,” in Proceedings of the International Symposium on Structural Health Monitoring and Nondestructive Testing (SHM-NDT-2018), Saarbrücken, Germany, Oct. 4–5,2018. https://www.ndt.net/article/shmndt2018/papers/SHM-NDT-2018_paper_32.pdf.

16.

F. P. Vasil’ev, Optimization Methods (Faktorial Press, Moscow, 2002) [in Russian].

17.

S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed. (Pearson Education, 1998).MATH

18.

S. Osowski, Sieci neuronowe do przetwarzania informacji (Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa, 2006).

19.

V. A. Gasilov, A. Yu. Krukovskii, Yu. A. Poveshchenko, and I. P. Tsygvintsev, “Homogeneous difference schemes for solving conjugate problems of hydrodynamics and elasticity,” KIAM Preprint No. 13 (Keldysh Inst. Appl. Math., Moscow, 2018). http://library.keldysh.ru/preprint.aspıd=2018-13. https://doi.org/10.20948/prepr-2018-13

20.

A. F. Nikiforov, V. G. Novikov, and V. B. Uvarov, Quantum-Statistical Models of Hot Dense Matter. Methods for Computation Opacity and Equation of State (Birkhäuser, Basel, Berlin, 2005).MATH

Titel: Model of Radiation-Induced Thermomechanical Effects in Heterogeneous Finely Dispersed Materials
verfasst von: V. A. Egorova
F. N. Voronin
M. E. Zhukovskiy
M. B. Markov
A. I. Potapenko
R. V. Uskov
D. S. Boykov
Publikationsdatum: 01.09.2020
Verlag: Pleiades Publishing
Erschienen in: Mathematical Models and Computer Simulations / Ausgabe 5/2020
Print ISSN: 2070-0482
Elektronische ISSN: 2070-0490
DOI: https://doi.org/10.1134/S2070048220050063

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