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

Prados-Privado M, Prados-Frutos JC, Manchón Á, Rojo R, Felice P, Bea JA - Biomed Res Int (2015)

Bottom Line: Results.The results have been obtained by conventional and probabilistic methods.Conclusions.

View Article: PubMed Central - PubMed

Affiliation: Department of Stomatology, Rey Juan Carlos University, C/ Tulipán s/n, Móstoles, 28933 Madrid, Spain ; Applied Modelling and Instrumentation Group, Aragón Institute of Engineering Research, University of Zaragoza, C/ Mariano Esquillor s/n, 50018 Zaragoza, Spain.

ABSTRACT
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).

No MeSH data available.


Related in: MedlinePlus

Minimum and maximum life.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC4637060&req=5

fig6: Minimum and maximum life.

Mentions: Figure 6 shows the life range in which the Proclinic dental implant analysed is going to be.


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

Prados-Privado M, Prados-Frutos JC, Manchón Á, Rojo R, Felice P, Bea JA - Biomed Res Int (2015)

Minimum and maximum life.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4637060&req=5

fig6: Minimum and maximum life.
Mentions: Figure 6 shows the life range in which the Proclinic dental implant analysed is going to be.

Bottom Line: Results.The results have been obtained by conventional and probabilistic methods.Conclusions.

View Article: PubMed Central - PubMed

Affiliation: Department of Stomatology, Rey Juan Carlos University, C/ Tulipán s/n, Móstoles, 28933 Madrid, Spain ; Applied Modelling and Instrumentation Group, Aragón Institute of Engineering Research, University of Zaragoza, C/ Mariano Esquillor s/n, 50018 Zaragoza, Spain.

ABSTRACT
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).

No MeSH data available.


Related in: MedlinePlus