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Parameter identification for heterogeneous materials by optimal control approach with flux cost functionals
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SYSNO ASEP 0543693 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Parameter identification for heterogeneous materials by optimal control approach with flux cost functionals Author(s) Haslinger, Jaroslav (UGN-S)
Blaheta, Radim (UGN-S) RID, SAI, ORCID
Mäkinen, R. A. E. (FI)Number of authors 3 Source Title Mathematics and Computers in Simulation. - : Elsevier - ISSN 0378-4754
Roč. 189, November 2021 (2021), s. 55-68Number of pages 14 s. Publication form Online - E Language eng - English Country NL - Netherlands Keywords identification of conductivity coefficients ; optimal control of PDEs ; sensitivity analysis Subject RIV BA - General Mathematics OECD category Applied mathematics R&D Projects GA19-11441S GA ČR - Czech Science Foundation (CSF) Method of publishing Limited access Institutional support UGN-S - RVO:68145535 UT WOS 000683684700007 EID SCOPUS 85106848556 DOI 10.1016/j.matcom.2020.06.009 Annotation The paper deals with the identification of material parameters characterizing components in heterogeneous geocomposites provided that the interfaces separating different materials are known. We use the optimal control approach with flux type cost functionals. Since solutions to the respective state problems are not regular, in general, the original cost functionals are expressed in terms of integrals over the computational domain using the Green formula. We prove the existence of solutions to the optimal control problem and establish convergence results for appropriately defined discretizations. The rest of the paper is devoted to computational aspects, in particular how to handle high sensitivity of the problem on the accuracy of data gained by measurements. Workplace Institute of Geonics Contact Lucie Gurková, lucie.gurkova@ugn.cas.cz, Tel.: 596 979 354 Year of Publishing 2022 Electronic address https://www.sciencedirect.com/science/article/pii/S0378475420302111
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