000062111 001__ 62111
000062111 005__ 20190709135442.0
000062111 0247_ $$2doi$$a10.1155/2017/3726361
000062111 0248_ $$2sideral$$a101156
000062111 037__ $$aART-2017-101156
000062111 041__ $$aeng
000062111 100__ $$0(orcid)0000-0003-0833-0680$$aPrados-Privado, María
000062111 245__ $$aA new model to study fatigue in dental implants based on probabilistic finite elements and cumulative damage model
000062111 260__ $$c2017
000062111 5060_ $$aAccess copy available to the general public$$fUnrestricted
000062111 5203_ $$aThe aim of this study was to predict the fatigue life of two different connections of a dental implant as in load transfer to bone. Two three-dimensional models were created and assembled. All models were subjected to a natural masticatory force of 118 N in the angle of 75° to the occlusal plane. All degrees of freedom in the inferior border of the cortical bone were restrained, and the mesial and distal borders of the end of the bone section were constrained. Fatigue material data and loads were assumed as random variables. Maximum principal stresses on bone were evaluated. Then, the probability of failure was obtained by the probabilistic approach. The maximum principal stress distribution predicted in the cortical and trabecular bone is 32 MPa for external connection and 39 MPa for internal connection. A mean life of 103 and 210 million cycles were obtained for external and internal connection, respectively. Probability cumulative function was also evaluated for both connection types. This stochastic model employs a cumulative damage model and probabilistic finite element method. This methodology allows the possibility of measured uncertainties and has a good precision on the results.
000062111 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000062111 590__ $$a1.769$$b2017
000062111 591__ $$aROBOTICS$$b16 / 26 = 0.615$$c2017$$dQ3$$eT2
000062111 591__ $$aENGINEERING, BIOMEDICAL$$b49 / 78 = 0.628$$c2017$$dQ3$$eT2
000062111 592__ $$a0.288$$b2017
000062111 593__ $$aBioengineering$$c2017$$dQ3
000062111 593__ $$aMedicine (miscellaneous)$$c2017$$dQ3
000062111 593__ $$aBiotechnology$$c2017$$dQ3
000062111 593__ $$aBiomedical Engineering$$c2017$$dQ3
000062111 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000062111 700__ $$0(orcid)0000-0002-9417-2705$$aBea, José Antonio$$uUniversidad de Zaragoza
000062111 700__ $$aRojo, Rosa
000062111 700__ $$aGehrke, Sergio A.
000062111 700__ $$aCalvo-Guirado, José Luis
000062111 700__ $$aPrados-Frutos, Juan Carlos
000062111 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000062111 773__ $$g2017 (2017), [8 pp.]$$pApplied bionics and biomechanics$$tApplied bionics and biomechanics$$x1176-2322
000062111 8564_ $$s2362305$$uhttps://zaguan.unizar.es/record/62111/files/texto_completo.pdf$$yVersión publicada
000062111 8564_ $$s29655$$uhttps://zaguan.unizar.es/record/62111/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000062111 909CO $$ooai:zaguan.unizar.es:62111$$particulos$$pdriver
000062111 951__ $$a2019-07-09-11:36:30
000062111 980__ $$aARTICLE