10.71932/

Determination of a Source Term in an Inverse Heat Conduction Problem by Radial Basis Functions

  1. Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran.

Published in Issue 14-07-2025

How to Cite

Arghand, M. (2025). Determination of a Source Term in an Inverse Heat Conduction Problem by Radial Basis Functions. International Journal of Mathematical Modelling & Computations, 7(3). https://doi.org/10.71932/

Abstract

In this paper, we propose a technique for determining a source term in an inverse heat conduction problem (IHCP) using Radial Basis Functions (RBFs). Because of being very suitable instruments, the RBFs have been applied for solving Partial Dierential Equations (PDEs) by some researchers. In the current study, a stable meshless method will be pro- posed for solving an (IHCP). The other advantage of the method is that can be applied to the problems with various types of boundary conditions. The results of numerical experiments are presented and compared with analytical solutions. The results demonstrate the reliability and efficiency of the proposed scheme.

Keywords

  • Radial basis functions,
  • Direct heat conduction problem,
  • Inverse heat conduction problem,
  • heat equation

References

  1. [1] J. R. Cannon, The One-Dimensional Heat Equation, Addison-Wesley, (1984).
  2. [2] J. R. Cannon and J. A. Vander Hoke, Implicit finite difference scheme for the diffusion of mass
  3. in porous media, in: Numerical Solution of Partial Differential Equations, North Holland, (1982)
  4. 527-539.
  5. [3] J. R. Cannon and A. L. Matheson, A numerical procedure for diffusion subject to the specification
  6. of mass, Int. J. Eng. Sci, 31 (1993) 347-355[4] J. R. Cannon and P. DuChateau, Structural identification of an unknown source term in a heat
  7. equation, Inverse Problems, 14(3) (1998) 535-551.
  8. [5] A. G. Fatullayev, Numerical solution of the inverse problem of determining an unknown source
  9. term in a two-dimensional heat equation, Applied Mathematics and Computation, 152 (3) (2004)
  10. 659-666.
  11. [6] A. Farcas and D. Lesnic, The boundary-element method for the determination of a heat source
  12. dependent on one variable, Journal of Engineering Mathematics, 54 (4) (2006) 375-388.
  13. [7] L. Ling, M. Yamamoto, Y. C. Hon, and T. Takeuchi, Identification of source locations in twodimensional heat equations, Inverse Problems, 22 (4) (2006) 1289-1305.
  14. [8] Zh. Yi and D. A. Murio, Source term identification in 1-D IHCP, Computers & Mathematics with
  15. Applications, 47 (12) (2004) 1921-1933.
  16. [9] L. Yan, C. L. Fu, and F. L. Yang, The method of fundamental solutions for the inverse heat source
  17. problem, Engineering Analysis with Boundary Elements, 32 (3) (2008) 216-222.
  18. [10] M. Dehghan and M. Tatari, Identifying an unknown function in a parabolic equation with overspecified data via He’s variational iteration method, Chaos, Solitons & Fractals, 36 (1) (2008) 157-166.
  19. [11] A. G. Fatullayev, Numerical method of identification of an unknown source term in a heat equation,
  20. Mathematical Problems in Engineering. Theory, Methods and Applications, 8 (2) (2002) 161-168.
  21. [12] J. V. Beck, B. Black well and C. R. St-Clair. Inverse Heat Conduction Ill-Posed problems, John
  22. Wiley Int.Sc., (1985).
  23. [13] M. D. Buhmann, Radial basis functions, Cambridge University Press, Cambridge, (2003).
  24. [14] M. Dehghan, On the solution of an initial-boundary value problem that combines Neumann and
  25. integral condition for the wave equation. Numerical Methods Partial Differential Equations, 21
  26. (2005) 24-40.
  27. [15] E. J. Kansa, Exacticit time integration of hyperbolic partial differential equations with mesh free
  28. radial basis functions. Engineering Analysis Boundary Elements, 31 (2007) 577-85.
  29. [16] G. E. Fasshauer, Meshfree approximation methods with Matlab. Interdisciplinary mathematical
  30. sciences, Singapore world scientific publishers, (2007).
  31. [17] G. E. Fasshauer and J. G. Zhang, On choosing "optimal" shape parameters for RBF approximation,
  32. Numerical Algorithms, 45 (2007) 346-68.
  33. [18] R. E. Carlson and T. A. Folery, The parameter r2 in multiquadric interpolation, Computers and
  34. Mathematical with Applications, 21 (1991) 29-42.
  35. [19] G. E. Fasshauer, Solving partial differential equations by collocation with radial basis functions, In:
  36. A. Le Mhaur, C. Rabut and L. L. Schumaker (eds), Surface fitting and multiresolution methods.
  37. Nashville, TN: Vanderbilt University Press, (1997).
  38. [20] I. J. Schoenberg, Metric spaces and completly monotonic functions, Ann. Math, 39 (1938) 811-41.
  39. [21] H. Wendland, Piecewise polynomial positive definite and compactly supported radial functions of
  40. minimal degree, Advances in computational mathematics, 4 (1995) 389-396.
  41. [22] M. Tatari and M. Dehghan, On the solution of the non-local parabolic partial differential equations
  42. via radial basis functions, Appl. Math. Modeling, 33 (2009) 1729-38.
  43. [23] M. Tatari and M.Dehghan, A method for solving partial differential equations via radial basis functions, Application to the heat equation, Engin. Anal. with boundary Elements, 34 (2010) 206-212.
  44. [24] E. Larsson and B. Fornberg, A numerical study of some radial basis function based solution methods
  45. for elliptic PDEs, Comput. Math. Appl, 46 (2003) 891-902.