Stochastic Model of Diffusion Mass Transfer with Sources or Runoffs of Diffusing Substance

  • Authors

    • Valentin v. Shevelev
    2018-11-30
    https://doi.org/10.14419/ijet.v7i4.28.28336
  • diffusion, runoff, substance, stochasticity, dispersion
  • As a rule, the prediction of results of engineering procedures related to the diffusion of an infused component into the treated material confines to solving boundary problems for the diffusion equation defining the change in the average concentration of the infused component. That said, the stochastic component of diffusion mass transfer determined by stochastic boundary conditions and fluctuations in the concentration of diffusing substance in the transfer region is not taken into account, which may significantly affect the prediction of the engineering procedure results. As a consequence, the 1D stochastic model of diffusion mass transfer is developed for the transfer region with third-order stochastic boundary conditions source or runoffs of diffusing substance. The elaborated approach allows one to derive the equation for the probability density of the distribution of the vector characterizing the concentration distribution of diffusing substance in the transfer region against the discrete set of its physically infinitesimal partition volumes in which the local quasi-equilibrium shows. The equation for the multidimensional probability of the concentration distribution of diffusing substance in the transfer region is used to derive the system of equations and formulate the boundary conditions for the unary function of the concentration distribution of diffusing substance, and also define the physical parameters included in the system of equations. The equation for the unary function of the concentration distribution of diffusing substance is used to derive the discretized equations for the core concentration moments basic for deriving the continuant equations for the average concentration and dispersion of diffusing substance. The boundary problems are formulated for the average concentration and dispersion of diffusing substance in case of sources and runoffs of the same type. The approach to finding the parameters of physical infinitesimal volume is formulated.

     

     

     


  • References

    1. [1] I. A. Solov’yev. Equations for Random Thermal Fields [Uravneniya dlya sluchaynykh teplovykh poley]. Journal of Engineering Physics and Thermophysics. 2000. Vol. 73. No. 2. Pp. 396-400.

      [2] I. A. Solov’yev. Predicting the Dispersion of Random Thermal Fields [O prognozirovanii dispersii sluchaynykh teplovykh poley]. Proceedings of the Russian Academy of Sciences. Power Engineering. 2002. No. 6. Pp. 109-115.

      [3] I. A. Solov’yev and V. V. Shevelev. About the Dispersion of Stationary Random Fields Described by the Laplace and Poisson equation. [O dispersii statsionarnykh sluchaynykh poley, opisyvayemykh uravneniyem Laplasa i Puassona] Proceedings of the Russian Academy of Sciences. Power Engineering. 2005. No. 3. Pp. 122-128.

      [4] Novikov E.A. Functionals and the Random-force Method in Turbulence Theory. J. Exptl. Theoret. Phys. (U.S.S.R.), Vol.20, No. 5, May, 1965, pp.1290 -1294.

      [5] Klyatskin V.I. Statistical topography and Lyapunov exponents in stochastic dynamical systems Physics-Uspekhi. 2008. Vol. 51. â„– 4. pp. 395-407.

      [6] Klyatskin V.I. Modern methods for the statistical description of dynamical stochastic systems. Physics-Uspekhi. 2009. Vol. 52. â„– 5. pp. 514-519.

      [7] V. I. Klyatskin. Statistical Description of Dynamic System with Fluctuating Parameters [Statisticheskoye opisaniye dinamicheskikh sistem s fluktuiruyushchimi parametrami]. Moscow: Nauka, 1975.

      [8] V. V. Shevelev. Stochastic Model of Heat Conduction with First-Order Boundary Conditions [Stokhasticheskaya model’ protsessa teploprovodnosti s granichnymi usloviyami pervogo roda]. Thermal Processes in Engineering. 2013. Vol. 5. No. 4. Pp.177−183.

      [9] V. V. Shevelev. Stochastic Model of Heat Conduction with Second-Order Boundary Conditions [Stokhasticheskaya model’ protsessa teploprovodnosti s granichnymi usloviyami vtorogo roda]. Thermal Processes in Engineering. 2014. Vol. 6. No. 3. Pp.126−132.

      [10] V. V. Shevelev. Stochastic Model of Heat Conduction with Third-Order Boundary Conditions [Stokhasticheskaya model’ protsessa teploprovodnosti s granichnymi usloviyami tret’yego roda]. Thermal Processes in Engineering. 2015. Vol. 7. No. 3. Pp.109−116.

      [11] Shevelev V.V. Stochastic model of heat conduction with stochastic boundary conditions. Journal of Engineering Physics and Thermophysics, Vol. 89, No. 4, July, 2016, pp.965-974.

      [12] V. V. Shevelev. Stochastic Model of Diffusion Mass Transfer [Stokhasticheskaya model’ diffuzionnogo massoperenosa] in the collection of papers of the XXVI - International Scientific Conference “Mathematical Methods in Engineering and Technology†in 10 vols., vol. 3, general editor A. A. Bol’shakov. Saratov: Saratov State Technical University Publishers, 2013. Pp. 33–35.

      [13] V. V. Shevelev. Stochastic Model of Diffusion Mass Transfer with Second-Order Boundary Conditions [Stokhasticheskaya model’ diffuzionnogo massoperenosa s granichnymi usloviyami vtorogo roda] in the collection of papers of the XXVII - International Scientific Conference “Mathematical Methods in Engineering and Technology†in 12 vols., vol. 3, general editor A. A. Bol’shakov. Tambov: Tambov State Technical University Publishers, 2014. Pp. 17–22.

      [14] V. V. Shevelev. Stochastic Model of Diffusion Mass Transfer with Third-Order Boundary Conditions [Stokhasticheskaya model’ diffuzionnogo massoperenosa s granichnymi usloviyami tret’yego roda] in the collection of papers of the XXVIII - International Scientific Conference “Mathematical Methods in Engineering and Technology†in 12 vols., vol. 1, general editor A. A. Bol’shakov. Saratov: Saratov State Technical University Publishers, 2015. Pp. 6–12.

      [15] V. V. Shevelev. Stochastic Model of Diffusion Mass Transfer with Stochastic Nonsymmetrical Third-Order Boundary Conditions [Stokhasticheskaya model’ diffuzionnogo massoperenosa so stokhasticheskimi nesimmetrichnymi granichnymi usloviyami tret’yego roda] in the collection of papers of the XXIX - International Scientific Conference “Mathematical Methods in Engineering and Technology†in 12 vols., vol. 1, general editor A. A. Bol’shakov. Saratov: Saratov State Technical University Publishers, 2016. Pp. 16–22.

      [16] V. V. Shevelev Double-Layer Stochastic Model of Diffusion Mass Transfer [Dvukhsloynaya stokhasticheskaya model’ diffuzionnogo massoperenosa] in XXIX - International Scientific Conference “Mathematical Methods in Engineering and Technology†in 12 vols., vol. 1, general editor A. A. Bol’shakov. Saint-Petersburg: Peter the Great St. Petersburg Polytechnic University Publishers, 2016. Pp. 27–31.

      [17] V. V. Shevelev. Stochastic Model of Diffusion Mass Transfer upon the Availability of a Source or Runoff of Diffusant [Stokhasticheskaya model’ diffuzionnogo massoperenosa pri nalichii istochnika ili stoka diffuzanta] in XXX - International Scientific Conference “Mathematical Methods in Engineering and Technology†in 12 vols., vol. 10, general editor A. A. Bol’shakov. Saint-Petersburg: Peter the Great St. Petersburg Polytechnic University Publishers, 2016. Pp. 39–44.

      [18] L. D. Landau and Ye. M. Lifshits. Statistical Physics [Statisticheskaya fizika]. Part 1. Fifth stereotype edition. Moscow: Fizmatlit, 2002.

      [19] E. M. Kartashov. Analytical Methods in the Solids Heat Conduction Theory

      [20] [Analiticheskiye metody v teorii teploprovodnosti tverdykh tel]. Moscow: Vysshaya Shkola. 2001.

      [21] A. N. Tikhonov and A. A. Samarskiy. Mathematical Physics Equations [Uravneniya matematicheskoy fiziki]. Moscow: Nauka, 1977.

      [22] A. A. Samarskiy and Ye. S. Nikolayev. Finite-Difference Equation Solution Methods [Metody resheniya setochnykh uravneniy]. Moscow: Nauka, 1978.

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  • How to Cite

    v. Shevelev, V. (2018). Stochastic Model of Diffusion Mass Transfer with Sources or Runoffs of Diffusing Substance. International Journal of Engineering & Technology, 7(4.28), 635-647. https://doi.org/10.14419/ijet.v7i4.28.28336