Analysis of the Burgers–Huxley Equation Using the Nondimensionalisation Technique: Universal Solution for Dirichlet and Symmetry Boundary Conditions

  1. Sánchez-Pérez, Juan Francisco 1
  2. Solano-Ramírez, Joaquín 1
  3. Castro, Enrique 1
  4. Conesa, Manuel 1
  5. Marín-García, Fulgencio 1
  6. García-Ros, Gonzalo 1
  1. 1 Universidad Politécnica de Cartagena
    info

    Universidad Politécnica de Cartagena

    Cartagena, España

    ROR https://ror.org/02k5kx966

Aldizkaria:
Axioms

ISSN: 2075-1680

Argitalpen urtea: 2023

Alea: 12

Zenbakia: 12

Mota: Artikulua

DOI: 10.3390/AXIOMS12121113 GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: Axioms

Garapen Iraunkorreko Helburuak

Laburpena

The Burgers–Huxley equation is important because it involves the phenomena of accumulation, drag, diffusion, and the generation or decay of species, which are common in various problems in science and engineering, such as heat transmission, the diffusion of atmospheric contaminants, etc. On the other hand, the mathematical technique of nondimensionalisation has proven to be very useful in the appropriate grouping of the variables involved in a physical–chemical phenomenon and in obtaining universal solutions to different complex engineering problems. Therefore, a deep analysis using this technique of the Burgers–Huxley equation and its possible boundary conditions can facilitate a common understanding of these problems through the appropriate grouping of variables and propose common universal solutions. Thus, in this case, the technique is applied to obtain a universal solution for Dirichlet and symmetric boundary conditions. The validation of the methodology is carried out by comparing different cases, where the coefficients or the value of the boundary condition are varied, with the results obtained through a numerical simulation. Furthermore, one of the cases presented presents a boundary condition that changes at a certain time. Finally, after applying the technique, it is studied which phenomenon is predominant, concluding that from a certain value diffusion predominates, with the rest being practically negligible.

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