Application of meshfree methods for solving the inverse one-dimensional Stefan problem

被引:25
|
作者
Rashedi, Kamal [1 ]
Adibi, Hojatollah [1 ]
Rad, Jamal Amani [2 ]
Parand, Kourosh [2 ]
机构
[1] Amirkabir Univ Technol, Fac Math & Comp Sci, Dept Appl Math, Tehran, Iran
[2] Shahid Beheshti Univ, Fac Math Sci, Dept Comp Sci, Tehran 19839, Iran
关键词
Inverse Stefan problem; Radial point interpolation method; Moving Kriging interpolation method; Nonlinear optimization; Heat conduction; POINT INTERPOLATION METHOD; RADIAL BASIS FUNCTIONS; SPACEWISE-DEPENDENT COEFFICIENT; DATA APPROXIMATION SCHEME; HEAT-TRANSFER COEFFICIENT; GALERKIN MLPG METHOD; NUMERICAL-SOLUTION; FUNDAMENTAL-SOLUTIONS; MESHLESS METHOD; INTEGRAL-EQUATIONS;
D O I
10.1016/j.enganabound.2013.10.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This work is motivated by studies of numerical simulation for solving the inverse one and two-phase Stefan problem. The aim is devoted to employ two special interpolation techniques to obtain space-time approximate solution for temperature distribution on irregular domains, as well as for the reconstruction of the functions describing the temperature and the heat flux on the fixed boundary x=0 when the position of the moving interface is given as extra specification. The advantage of applying the methods is producing the shape functions which provide the important delta function property to ensure that the essential conditions are fulfilled. Due to ill-posedness of the problem, the process is intractable numerically, so special optimization technique is used to obtain the regularized solution. Numerical results for the typical benchmark test examples, which have the input measured data perturbed by increasing amounts of noise and continuity to the input data in the presence of additive noise, are obtained, which present the efficiency of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 21
页数:21
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