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Engineering with Computers
Erschienen in: Engineering with Computers 3/2017

01.10.2016 | Original Article

The meshfree strong form methods for solving one dimensional inverse Cauchy-Stefan problem

verfasst von: Jamal Amani Rad, Kamal Rashedi, Kourosh Parand, Hojatollah Adibi

Erschienen in: Engineering with Computers | Ausgabe 3/2017

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Abstract

In this paper, we extend the application of meshfree node based schemes for solving one-dimensional inverse Cauchy-Stefan problem. The aim is devoted to recover the initial and boundary conditions from some Cauchy data lying on the admissible curve s(t) as the extra overspecifications. To keep matters simple, the problem has been considered in one dimensional, however the physical domain of the problem is supposed as an irregular bounded domain in \(\mathbb {R}^2\). The methods provide the space-time approximations for the heat temperature derived by expanding the required approximate solutions using collocation scheme based on radial point interpolation method (RPIM). The proposed method makes appropriate shape functions which possess the important Delta function property to satisfy the essential conditions automatically. In addition, to conquer the ill-posedness of the problem, particular optimization technique has been applied for solving the system of equations \(Ax=b\) in which A is a nonsymmetric stiffness matrix. As the consequences, reliable approximate solutions are obtained which continuously depend on input data.
Vorheriger Artikel Discretization effects in the finite element simulation of seismic waves in elastic and elastic-plastic media
Nächster Artikel Global optimization method using ensemble of metamodels based on fuzzy clustering for design space reduction

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Metadaten
Titel
The meshfree strong form methods for solving one dimensional inverse Cauchy-Stefan problem
verfasst von
Jamal Amani Rad
Kamal Rashedi
Kourosh Parand
Hojatollah Adibi
Publikationsdatum
01.10.2016
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 3/2017
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-016-0489-3

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