Numerical Implementation for a 2-D Thermal Inhomogeneity Through the Dynamical Probe Method

Numerical Implementation for a 2-D Thermal Inhomogeneity Through the Dynamical Probe Method

Year:    2010

Journal of Computational Mathematics, Vol. 28 (2010), Iss. 1 : pp. 87–104

Abstract

In this paper, we present the theory and numerical implementation for a 2-D thermal inhomogeneity through the dynamical probe method. The main idea of the dynamical probe method is to construct an indicator function associated with some probe such that when the probe touch the boundary of the inclusion the indicator function will blow up. From this property, we can get the shape of the inclusion. We will give the numerical reconstruction algorithm to identify the inclusion from the simulated Neumann-to-Dirichlet map.

You do not have full access to this article.

Already a Subscriber? Sign in as an individual or via your institution

Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/jcm.2009.09-m2935

Journal of Computational Mathematics, Vol. 28 (2010), Iss. 1 : pp. 87–104

Published online:    2010-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    18

Keywords:    Heat equation Dynamical probe method Neumann-to-Dirichlet map.

  1. Numerical reconstruction of unknown Robin inclusions inside a heat conductor by a non-iterative method

    Nakamura, Gen | Wang, Haibing

    Inverse Problems, Vol. 33 (2017), Iss. 5 P.055002

    https://doi.org/10.1088/1361-6420/aa5fc0 [Citations: 11]
  2. Reconstruction of an unknown cavity with Robin boundary condition inside a heat conductor

    Nakamura, Gen | Wang, Haibing

    Inverse Problems, Vol. 31 (2015), Iss. 12 P.125001

    https://doi.org/10.1088/0266-5611/31/12/125001 [Citations: 11]
  3. Numerical solution of an inverse boundary value problem for the heat equation with unknown inclusions

    Wang, Haibing | Li, Yi

    Journal of Computational Physics, Vol. 369 (2018), Iss. P.1

    https://doi.org/10.1016/j.jcp.2018.05.008 [Citations: 13]
  4. Linear sampling method for identifying cavities in a heat conductor

    Heck, Horst | Nakamura, Gen | Wang, Haibing

    Inverse Problems, Vol. 28 (2012), Iss. 7 P.075014

    https://doi.org/10.1088/0266-5611/28/7/075014 [Citations: 13]
  5. Reconstruction algorithm for unknown cavities via Feynman–Kac type formula

    Kawakami, Hajime

    Computational Optimization and Applications, Vol. 61 (2015), Iss. 1 P.101

    https://doi.org/10.1007/s10589-014-9706-4 [Citations: 3]
  6. Linear sampling method for the heat equation with inclusions

    Nakamura, Gen | Wang, Haibing

    Inverse Problems, Vol. 29 (2013), Iss. 10 P.104015

    https://doi.org/10.1088/0266-5611/29/10/104015 [Citations: 18]