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

Biomed Res Int. 2015:2015:825402. doi: 10.1155/2015/825402. Epub 2015 Oct 25.

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).

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Dental Implants*
  • Dental Materials / chemistry*
  • Dental Restoration Failure*
  • Dental Stress Analysis*
  • Finite Element Analysis
  • Humans
  • Markov Chains
  • Models, Theoretical
  • Stress, Mechanical
  • Titanium / chemistry

Substances

  • Dental Implants
  • Dental Materials
  • Titanium