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Yuz Eissmann, Juan Ignacio
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Nombre
Yuz Eissmann, Juan Ignacio
Departamento
Campus / Sede
Campus Casa Central Valparaíso
Email
ORCID
Scopus Author ID
6508368901
Now showing 1 - 2 of 2
- PublicationFluid-Structure Port-Hamiltonian Model for Incompressible Flows in Tubes with Time Varying Geometries(2020-01-01)
;Mora, Luis A. ;Yann, Le Gorrec ;Ramirez, HectorA simple and scalable finite-dimensional model based on the port-Hamiltonian framework is proposed to describe the fluid–structure interaction in tubes with time-varying geometries. For this purpose, the moving tube wall is described by a set of mass-spring-damper systems while the fluid is considered as a one-dimensional incompressible flow described by the average momentum dynamics in a set of incompressible flow sections. To couple these flow sections small compressible volumes are defined to describe the pressure between two adjacent fluid sections. The fluid-structure coupling is done through a power-preserving interconnection between velocities and forces. The resultant model includes external inputs for the fluid and inputs for external forces over the mechanical part that can be used for control or interconnection purposes. Numerical examples show the accordance of this simplified model with finite-element models reported in the literature.Scopus© Citations 5 - PublicationParametric identification of a linear time invariant model for a subglottal system(2021-07-01)
;Fontanet, Javier G.; Models of the human body are key in bio-engineering and medical applications. This study presents the identification, in time and frequency domains, of linear time invariant models of the human subglottal system, for the clinical assessment of vocal function. For time domain identification, the input-output data corresponds to the glottal volume velocity and the acceleration registered by a sensor on the neck skin of the patient. For frequency domain identification, the frequency response of the subglottal tract module is used. Maximum likelihood and prediction error methods are applied. Additionally, the Akaike and Bayes Information Criteria are used to select the models order.Scopus© Citations 1