62840 20200221144345.0 doi 10.1155/2016/8927156 sideral 101464 ART-2016-101464 eng (orcid)0000-0003-0833-0680 Prados-Privado, María Long-term fatigue and its probability of failure applied to dental implants 2016 Access copy available to the general public Unrestricted It is well known that dental implants have a high success rate but even so, there are a lot of factors that can cause dental implants failure. Fatigue is very sensitive to many variables involved in this phenomenon. This paper takes a close look at fatigue analysis and explains a new method to study fatigue from a probabilistic point of view, based on a cumulative damage model and probabilistic finite elements, with the goal of obtaining the expected life and the probability of failure. Two different dental implants were analysed. The model simulated a load of 178¿N applied with an angle of 0°, 15°, and 20° and a force of 489¿N with the same angles. Von Mises stress distribution was evaluated and once the methodology proposed here was used, the statistic of the fatigue life and the probability cumulative function were obtained. This function allows us to relate each cycle life with its probability of failure. Cylindrical implant has a worst behaviour under the same loading force compared to the conical implant analysed here. Methodology employed in the present study provides very accuracy results because all possible uncertainties have been taken in mind from the beginning. info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.476 2016 BIOTECHNOLOGY & APPLIED MICROBIOLOGY 66 / 160 = 0.412 2016 Q2 T2 MEDICINE, RESEARCH & EXPERIMENTAL 65 / 128 = 0.508 2016 Q3 T2 0.885 2016 Medicine (miscellaneous) 2016 Q1 Biochemistry, Genetics and Molecular Biology (miscellaneous) 2016 Q2 Immunology and Microbiology (miscellaneous) 2016 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Prados-Frutos, Juan Carlos Gehrke, Sergio Alexandre Sánchez Siles, Mariano Calvo Guirado, José Luis (orcid)0000-0002-9417-2705 Bea, José Antonio Universidad de Zaragoza 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 2016, 8927156 (2016), [8 pp.] BioMed res. int. BioMed Research International 2314-6133 956351 http://zaguan.unizar.es/record/62840/files/texto_completo.pdf Versión publicada 96398 http://zaguan.unizar.es/record/62840/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:62840 articulos driver 2020-02-21-13:52:23 ARTICLE