70624 20180521123249.0 doi 10.21611/qirt.2016.087 sideral 106080 ART-2016-106080 eng Castelo, A. Optimization of Total Variation regularization to improve the accuracy of the characterization of vertical cracks by lock-in vibrothermography 2016 Access copy available to the general public Unrestricted We use lock-in vibrothermography to characterize vertical cracks. In the presence of ultrasounds, the rubbing of the crack faces produces heat which induces a temperature rise at the surface that is measured with an infrared camera. We fit data obtained by modulating the amplitude of the ultrasounds at several modulation frequencies. The inverse problem consisting of finding the geometry and location of the heat source from vibrothermography data is ill-posed, which makes it necessary to stabilize the inversion algorithm. We analyze the effect of the stabilizing term on the accuracy of the reconstructions. info:eu-repo/grantAgreement/ES/MINECO/MAT2011-23811 info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Mendioroz, A. (orcid)0000-0003-2183-2159 Celorrio, R. Universidad de Zaragoza Salazar, A. 2005 595 Universidad de Zaragoza Departamento de Matemática Aplicada Matemática Aplicada (2016), 572-573 13TH QUANTITATIVE INFRARED THERMOGRAPHY CONFERENCE 2371-4085 87123 http://zaguan.unizar.es/record/70624/files/texto_completo.pdf Versión publicada 105760 http://zaguan.unizar.es/record/70624/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:70624 articulos driver 2018-05-21-11:14:20 ARTICLE