Dental Implants Fatigue as a Possible Failure of Implantologic Treatment: The Importance of Randomness in Fatigue Behaviour.

Objective. To show how random variables concern fatigue behaviour by a probabilistic finite element method. Methods. Uncertainties on material properties due to the existence of defects that cause material elastic constant are not the same in the whole dental implant the dimensions of the structural...

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Publicado en:BioMed Research International Vol. 2015; pp. 1 - 8
Autores principales: Prados-Privado, María, Prados-Frutos, Juan Carlos, Manchón, Ángel, Rojo, Rosa, Felice, Pietro, Bea, José Antonio
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 10/25/2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 10/25/2015
      vid: 2015
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      pub: Wiley-Blackwell
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        128652196
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        10.1155/2015/825402
        128652196
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        atl: Dental Implants Fatigue as a Possible Failure of Implantologic Treatment: The Importance of Randomness in Fatigue Behaviour.
      aug:
        au:
          Prados-Privado, María
          Prados-Frutos, Juan Carlos
          Manchón, Ángel
          Rojo, Rosa
          Felice, Pietro
          Bea, José Antonio
        affil: Department of Stomatology, Rey Juan Carlos University, C/ Tulipán s/n, Móstoles, 28933 Madrid, Spain
      sug:
        subj:
          Dental Implants
          Fatigue
          Prosthesis Failure
          Finite Element Analysis
          Human
          Models, Theoretical
          Mathematics
          Models, Statistical
          Probability
      ab: Objective. To show how random variables concern fatigue behaviour by a probabilistic finite element method. Methods. Uncertainties on material properties due to the existence of defects that cause material elastic constant are not the same in the whole dental implant the dimensions of the structural element and load history have a decisive influence on the fatigue process and therefore on the life of a dental implant. In order to measure these uncertainties, we used a method based on Markoff chains, Bogdanoff and Kozin cumulative damage model, and probabilistic finite elements method. Results. The results have been obtained by conventional and probabilistic methods. Mathematical models obtained the same result regarding fatigue life; however, the probabilistic model obtained a greater mean life but with more information because of the cumulative probability function. Conclusions. The present paper introduces an improved procedure to study fatigue behaviour in order to know statistics of the fatigue life (mean and variance) and its probability of failure (fatigue life versus probability of failure).
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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