A distributed resistance inverse method for flow obstacle identification from internal velocity measurements
Author
dc.contributor.author
Aguayo Araneda, Jorge Sebastián
Author
dc.contributor.author
Bertoglio, Cristóbal
Author
dc.contributor.author
Osses Alvarado, Axel Esteban
Admission date
dc.date.accessioned
2021-10-28T20:31:24Z
Available date
dc.date.available
2021-10-28T20:31:24Z
Publication date
dc.date.issued
2021
Cita de ítem
dc.identifier.citation
Inverse Problems 37 (2021) 025010 (28pp)
es_ES
Identifier
dc.identifier.other
10.1088/1361-6420/abced8
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/182481
Abstract
dc.description.abstract
We present a penalization parameter method for obstacle identification in an incompressible fluid flow for a modified version of the Oseen equations. The proposed method consists in adding a high resistance potential to the system such that some subset of its boundary support represents the obstacle. This allows to work in a fixed domain and highly simplify the solution of the inverse problem via some suitable cost functional. Existence of minimizers and first and second order optimality conditions are derived through the differentiability of the solutions of the Oseen equation with respect to the potential. Finally, several numerical experiments using Navier-Stokes flow illustrate the applicability of the method, for the localization of a bi-dimensional cardiac valve from MRI and ultrasound flow type imaging data.
es_ES
Patrocinador
dc.description.sponsorship
National Agency for Research and Development (ANID)/Scholarship Program/BECA DOCTORADO NACIONAL 2018-21180642
European Research Council (ERC) 852544-CardioZoom
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT FONDECYT 1191903
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT)
CONICYT PIA/BASAL PFB-03
AFB170001
es_ES
Lenguage
dc.language.iso
en
es_ES
Publisher
dc.publisher
IOP
es_ES
Type of license
dc.rights
Attribution-NonCommercial-NoDerivs 3.0 United States