Literature DB >> 27073012

A random fatigue of mechanize titanium abutment studied with Markoff chain and stochastic finite element formulation.

María Prados-Privado1,2, Juan Carlos Prados-Frutos2, José Luis Calvo-Guirado3, José Antonio Bea1.   

Abstract

To measure fatigue in dental implants and in its components, it is necessary to use a probabilistic analysis since the randomness in the output depends on a number of parameters (such as fatigue properties of titanium and applied loads, unknown beforehand as they depend on mastication habits). The purpose is to apply a probabilistic approximation in order to predict fatigue life, taking into account the randomness of variables. More accuracy on the results has been obtained by taking into account different load blocks with different amplitudes, as happens with bite forces during the day and allowing us to know how effects have different type of bruxism on the piece analysed.

Entities:  

Keywords:  Fatigue; fracture; random loads; reliability; stochastic finite element method

Mesh:

Substances:

Year:  2016        PMID: 27073012     DOI: 10.1080/10255842.2016.1170124

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  4 in total

1.  Complete mechanical characterization of an external hexagonal implant connection: in vitro study, 3D FEM, and probabilistic fatigue.

Authors:  María Prados-Privado; Sérgio A Gehrke; Rosa Rojo; Juan Carlos Prados-Frutos
Journal:  Med Biol Eng Comput       Date:  2018-06-11       Impact factor: 2.602

2.  Biomechanical evaluations of the long-term stability of dental implant using finite element modeling method: a systematic review.

Authors:  Seyed Aref Hosseini-Faradonbeh; Hamid Reza Katoozian
Journal:  J Adv Prosthodont       Date:  2022-06-27       Impact factor: 1.989

3.  A New Model to Study Fatigue in Dental Implants Based on Probabilistic Finite Elements and Cumulative Damage Model.

Authors:  María Prados-Privado; José Antonio Bea; Rosa Rojo; Sérgio A Gehrke; José Luis Calvo-Guirado; Juan Carlos Prados-Frutos
Journal:  Appl Bionics Biomech       Date:  2017-07-05       Impact factor: 1.781

4.  Long-Term Fatigue and Its Probability of Failure Applied to Dental Implants.

Authors:  María Prados-Privado; Juan Carlos Prados-Frutos; Sérgio Alexandre Gehrke; Mariano Sánchez Siles; José Luis Calvo Guirado; José Antonio Bea
Journal:  Biomed Res Int       Date:  2016-07-19       Impact factor: 3.411

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.