中国物理B ›› 2015, Vol. 24 ›› Issue (5): 50203-050203.doi: 10.1088/1674-1056/24/5/050203

• GENERAL • 上一篇    下一篇

Numerical solution of the imprecisely defined inverse heat conduction problem

Smita Tapaswini, S. Chakraverty, Diptiranjan Behera   

  1. Department of Mathematics, National Institute of Technology Rourkela, Odisha 769 008, India
  • 收稿日期:2014-08-21 修回日期:2014-11-25 出版日期:2015-05-05 发布日期:2015-05-05

Numerical solution of the imprecisely defined inverse heat conduction problem

Smita Tapaswini, S. Chakraverty, Diptiranjan Behera   

  1. Department of Mathematics, National Institute of Technology Rourkela, Odisha 769 008, India
  • Received:2014-08-21 Revised:2014-11-25 Online:2015-05-05 Published:2015-05-05
  • Contact: S. Chakraverty E-mail:sne_chak@yahoo.com
  • About author:02.60.Cb; 02.60.-x; 02.90.+p; 07.05.Mh

摘要: This paper investigates the numerical solution of the uncertain inverse heat conduction problem. Uncertainties present in the system parameters are modelled through triangular convex normalized fuzzy sets. In the solution process, double parametric forms of fuzzy numbers are used with the variational iteration method (VIM). This problem first computes the uncertain temperature distribution in the domain. Next, when the uncertain temperature measurements in the domain are known, the functions describing the uncertain temperature and heat flux on the boundary are reconstructed. Related example problems are solved using the present procedure. We have also compared the present results with those in [Inf. Sci. (2008) 178 1917] along with homotopy perturbation method (HPM) and [Int. Commun. Heat Mass Transfer (2012) 39 30] in the special cases to demonstrate the validity and applicability.

关键词: triangular fuzzy number, double parametric form of fuzzy numbers, uncertain inverse heat conduction, variational iteration method (VIM)

Abstract: This paper investigates the numerical solution of the uncertain inverse heat conduction problem. Uncertainties present in the system parameters are modelled through triangular convex normalized fuzzy sets. In the solution process, double parametric forms of fuzzy numbers are used with the variational iteration method (VIM). This problem first computes the uncertain temperature distribution in the domain. Next, when the uncertain temperature measurements in the domain are known, the functions describing the uncertain temperature and heat flux on the boundary are reconstructed. Related example problems are solved using the present procedure. We have also compared the present results with those in [Inf. Sci. (2008) 178 1917] along with homotopy perturbation method (HPM) and [Int. Commun. Heat Mass Transfer (2012) 39 30] in the special cases to demonstrate the validity and applicability.

Key words: triangular fuzzy number, double parametric form of fuzzy numbers, uncertain inverse heat conduction, variational iteration method (VIM)

中图分类号:  (Numerical simulation; solution of equations)

  • 02.60.Cb
02.60.-x (Numerical approximation and analysis) 02.90.+p (Other topics in mathematical methods in physics) 07.05.Mh (Neural networks, fuzzy logic, artificial intelligence)