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dc.contributor.authorBajtek, Vojtěch
dc.contributor.authorFrydrýšek, Karel
dc.contributor.authorPleva, Leopold
dc.date.accessioned2020-06-15T11:02:10Z
dc.date.available2020-06-15T11:02:10Z
dc.date.issued2020
dc.identifier.citationMM Science Journal. 2020, vol. 2020, p. 3837-3840.cs
dc.identifier.issn1803-1269
dc.identifier.issn1805-0476
dc.identifier.urihttp://hdl.handle.net/10084/139530
dc.description.abstractThis article deals with strength and stiffness analysis of headless screw. This issue was solved in cooperation with engineering industry and doctors. The problem was solved using a stochastic approach, which utilizes the field of random events (simulations), which are applied for determination of input values. The prototype of headless (Herbert) screw Ti4.0/1.4x30/75 was used for solving this problem. Mathematical equations for analytical calculation of the maximal equivalent stress in screw were established. This issue is statically indeterminate problem in compressive and tensile stresses and needs one more equation (i.e. the condition of deformation), which describes relationship between extension of screw and contraction of bone. Resulting values are not defined for one specific model, but the simulation is taking into account a large amount of random samples (specifically 5x10(6) random simulations), which are distributed by bounded histograms. Furthermore, the probabilistic functions of simulated screw were determined. Due to stochastic strength analysis of headless screw, it meets reliability conditions for practical application in osteosynthetic treatment, see [Frydrysek 2016]cs
dc.language.isoencs
dc.publisherMM Sciencecs
dc.relation.ispartofseriesMM Science Journalcs
dc.relation.urihttp://doi.org/10.17973/MMSJ.2020_03_2019133cs
dc.subjectheadless (Herbert) screwcs
dc.subjectstochastic analysiscs
dc.subjectosteosynthesiscs
dc.subjectstrengthcs
dc.subjecthistogramcs
dc.subjectbiomechanicscs
dc.titleStochastic strength analysis of compression headless screwcs
dc.typearticlecs
dc.identifier.doi10.17973/MMSJ.2020_03_2019133
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume2020cs
dc.description.lastpage3840cs
dc.description.firstpage3837cs
dc.identifier.wos000532576800024


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