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dc.date.accessioned 2020-09-04T12:11:05Z
dc.date.available 2020-09-04T12:11:05Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/103823
dc.description.abstract In this paper we analyze the dynamic behavior of micro/nano beams with attached masses distributed in a random field. A model of shear deformable micro beam is employed as the basis for deterministic calculations that are carried out in the context of the finite element method. The deterministic model is developed under the frame of non-local elasticity. Attached masses modify the vibratory pattern of unloaded nano-beams, and by the way conveying the possibility to detect alterations (this is the way in which nano-sensors can detect the presence of biomolecules or other nano-particles). The variability of mass and/or the stiffness properties of the nano- beam are assumed as random parameters or random fields taking into account the elastic coupling between bending and shear in the contexts of non-local approaches. The probabilistic model is constructed, under the basis of a first-order-shear-deformation (FOST) beam theory, appealing to the Maximum Entropy Principle in order to derive the probability density functions, according to increasing levels of entropy (i.e. with less number of constraints or less information). The analysis is performed in the frequency domain by comparing the probabilistic models with different levels of information (i.e., given the mean and/or the bounds, etc.) with previously developed probabilistic approaches such as the ones with parametric uncertainty. es
dc.format.extent 1245-1245 es
dc.language en es
dc.subject Micro/nano beams es
dc.subject FOST es
dc.subject Nonlocal elasticity es
dc.subject Frequency analysis es
dc.title Dynamics of nano beams with attached masses randomly distributed en
dc.type Objeto de conferencia es
sedici.identifier.uri https://cimec.org.ar/ojs/index.php/mc/article/view/5342 es
sedici.identifier.issn 2591-3522 es
sedici.creator.person Piovan, Marcelo T. es
sedici.creator.person Da Rosa, María Anna es
sedici.creator.person Lippiello, Maria es
sedici.description.note Publicado en: Mecánica Computacional vol. XXXV, no. 22 es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
sedici.subtype Resumen es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2017-11
sedici.relation.event XXIII Congreso de Métodos Numéricos y sus Aplicaciones (ENIEF) (La Plata, noviembre 2017) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)