Результаты поиска по 'bulk conductivity':
Найдено статей: 2
  1. Zaika Y.V., Kostikova E.K.
    Modeling of thermal desorption and hydrogen permeability
    Computer Research and Modeling, 2014, v. 6, no. 5, pp. 679-703

    In the context of problems of hydrogen and thermonuclear power engineering intensive research of the hydrogen isotopes properties is being conducted. Mathematical models help to specify physical-chemical ideas about the interaction of hydrogen isotopes with structural materials, to discover the limiting factors. Classical diffusion models are often insufficient. The paper is devoted to the models and numerical solution of the boundary-value problems of hydrogen thermodesorption and permeability taking into account nonlinear sorption-desorption dynamics on the surface and reversible capture of hydrogen atoms in the bulk. Algorithms based on difference approximations. The results of computer simulation of the hydrogen flux from a structural material sample are presented.

    Keywords: hydrogen interaction with solids, surface processes, nonlinear dynamical boundary-value problems, numerical simulation.
    Views (last year): 3.
  2. Demianov A.Y., Dinariev O.Y., Lisitsin D.A.
    Numerical simulation of electromagnetic properties of the saturated rock media with surface conductivity effects
    Computer Research and Modeling, 2015, v. 7, no. 5, pp. 1081-1088

    New numerical simulation technique to calculate electrical properties of rocks with two-phase “oil– water” saturation is proposed. This technique takes into account surface conductivity of electrical double layers at the contact between solid rock and aqueous solution inside pore space. The numerical simulation technique is based on acquiring of electrical potential distribution in high-resolution three-dimensional digital model of porous medium. The digital model incorporates the spatial geometry of pore channels and contains bulk and surface grid cells. Numerical simulation results demonstrate the importance of surface conductivity effects.

    Keywords: digital model, numerical simulation, electromagnetic properties, bulk conductivity, surface conductivity.
    Views (last year): 4. Citations: 1 (RSCI).

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