Most privacy risks are highly probabilistic, cumulative, and difficult to calculate.
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.
To reduce the unrestrained elements, we have used a method to show how uncertainties concern fatigue life and the probability of failure using a method based on Markoff chains, Bogdanoff and Kozin cumulative damage model, and probabilistic finite elements method [ 3– 5].
Application to probabilistic assessment of cumulative damage and further program enhancement can be now envisaged.
Fragility curve is developed based on the probabilistic hazard level, cumulative probability function and classification damage-states.
This leads to a probabilistic calculation of cumulative impacts throughout the structure's service life, from initial repair to functional obsolescence (end of life).
The use of multichemical, multipathway, probabilistic approaches for cumulative risk assessment has been illustrated in assessments conducted for several pesticide groups (U.S. EPA, 2002a, 2005c).
Probabilistic approaches to cumulative risk assessment may be appropriate in certain situations, but careful consideration must be given to defining the set of relevant end points because it has important logistical and practical implications for calculating and interpreting risk.
The aim of this study was to evaluate the predicted fatigue life of Proclinic dental implant using Markoff chains, Bogdanoff and Kozin cumulative damage model, and the probabilistic finite element method to reduce time and improve dental implants and compare the results with some mathematical models to study fatigue, for example, Goodman or Gerber models [ 13].
