Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/17699
Full metadata record
DC FieldValueLanguage
dc.rights.licenseAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.contributor.authorJovicic, Gordana-
dc.contributor.authorVulović, Aleksandra-
dc.contributor.authorDjorovic, Smiljana-
dc.contributor.authorVukicevic, Arso-
dc.contributor.authorVulovic, Radun-
dc.contributor.authorFilipovic, Nenad-
dc.date.accessioned2023-05-17T08:31:08Z-
dc.date.available2023-05-17T08:31:08Z-
dc.date.issued2021-
dc.identifier.isbn978-86-909973-8-1en_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/17699-
dc.description.abstractThe aim of this paper was to computationally investigate the structural integrity and resistance of a human knee joint at the maximum power tennis serve. The assessment of knee resistance if of high importance in order to tract and evaluate the player’s health status and predict the knee injury. The methodology of this paper is based on tracking the knee’s kinematics, ground force measurement, inverse dynamics modelling and analysis of the knee using the Finite Element Method (FEM). The applied boundary conditions correspond to maximum loads during the tennis serve. The main aim was to assess the knee resistance of a tennis player, considering acute deformations and potential injuries. The obtained results show a good correlation with stress distribution in real cases. The presented knee joint model and applied methodology are excellent basis for further development of the optimized computational technology and creation of practical diagnostic tool for non-invasive assessment of the knee function during specific moves and motions in tennis.en_US
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourceThe 8th International Congress of Serbian Society of Mechanicsen_US
dc.subjectFinite Element Methoden_US
dc.subjectKnee jointen_US
dc.titleNumerical analysis of knee joint at maximum power tennis serveen_US
dc.typeconferenceObjecten_US
Appears in Collections:Faculty of Engineering, Kragujevac

Page views(s)

406

Downloads(s)

39

Files in This Item:
File Description SizeFormat 
2021_SSM_Jovicic.pdf1.23 MBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons