Hazanee, A and Lesnic, D (2016) Reconstruction of multiplicative space- and time-dependent sources. Inverse Problems in Science and Engineering, 24 (9). pp. 1528-1549. ISSN 1741-5977
Abstract
This paper presents a numerical regularization approach to the simultaneous determination of multiplicative space- and time-dependent source functions in a nonlinear inverse heat conduction problem with homogeneous Neumann boundary conditions together with specified interior and final time temperature measurements. Under these conditions a unique solution is known to exist. However, the inverse prob- lem is still ill-posed since small errors in the input interior temperature data cause large errors in the output heat source solution. For the numerical discretisation, the boundary element method combined with a regularized nonlinear optimization are utilized. Results obtained from several numerical tests are provided in order to illustrate the efficiency of the adopted computational methodology.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2016 Taylor & Francis. This is an Accepted Manuscript of an article published by Taylor & Francis in Inverse Problems in Science and Engineering on 12 Jan 2016, available online: http://dx.doi.org/10.1080/17415977.2015.1130041 |
| Keywords: | Inverse source problem; Boundary element method; Nonlinear optimization; Regularization; 65M32, 65M38 |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds) |
| Depositing User: | Symplectic Publications |
| Date Deposited: | 21 Dec 2015 13:43 |
| Last Modified: | 14 Apr 2017 03:57 |
| Published Version: | http://dx.doi.org/10.1080/17415977.2015.1130041 |
| Status: | Published |
| Publisher: | Taylor & Francis |
| Identification Number: | 10.1080/17415977.2015.1130041 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:92688 |
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