79354 20200117221655.0 doi 10.1016/j.cma.2018.05.031 sideral 107045 ART-2018-107045 eng (orcid)0000-0002-6773-6667 Ariza-Gracia, M. Fluid–structure simulation of a general non-contact tonometry. A required complexity? 2018 Access copy available to the general public Unrestricted Understanding corneal biomechanics is important for applications regarding refractive surgery prediction outcomes and the study of pathologies affecting the cornea itself. In this regard, non-contact tonometry (NCT) is gaining interest as a non-invasive diagnostic tool in ophthalmology, and is becoming an alternative method to characterize corneal biomechanics in vivo. In general, identification of material parameters of the cornea from a NCT test relies on the inverse finite element method, for which an accurate and reliable modelization of the test is required. This study explores four different modeling strategies ranging from pure structural analysis up to a fluid–structure interaction model considering the air–cornea and humor–cornea interactions. The four approaches have been compared using clinical biomarkers commonly used in ophthalmology. Results from the simulations indicate the importance of considering the humors as fluids and the deformation of the cornea when determining the pressure applied by the air-jet during the test. Ignoring this two elements in the modeling lead to an overestimation of corneal displacement and therefore an overestimation of corneal stiffness when using the inverse finite element method. info:eu-repo/grantAgreement/ES/MINECO/DPI2014-54981-R info:eu-repo/grantAgreement/ES/MINECO/DPI2017-84047-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 4.821 2018 MECHANICS 6 / 134 = 0.045 2018 Q1 T1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 2 / 105 = 0.019 2018 Q1 T1 ENGINEERING, MULTIDISCIPLINARY 6 / 88 = 0.068 2018 Q1 T1 2.996 2018 Computational Mechanics 2018 Q1 Computer Science Applications 2018 Q1 Physics and Astronomy (miscellaneous) 2018 Q1 Mechanics of Materials 2018 Q1 Mechanical Engineering 2018 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Wu, W. (orcid)0000-0001-9713-1813 Calvo, B. Universidad de Zaragoza Malvè, M. Büchler, P. Rodriguez Matas, J.F. 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 340 (2018), 202-215 Comput. methods appl. mech. eng. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 0045-7825 480181 http://zaguan.unizar.es/record/79354/files/texto_completo.pdf Postprint 59999 http://zaguan.unizar.es/record/79354/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:79354 articulos driver 2020-01-17-22:11:12 ARTICLE