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Originally the Alpha-Beta Model was developed and tested from data generated in tests using commercial grade [[Titanium]] and [[Aluminium Alloy]] 2524-T3 both the structural materials of great interest aeronautical.
This model is applied in two situations: the individual that conforms to the experimental data of a single test and can be compared to [[Paris' law]]; and the generalized one that tries to represent in a bi-parametric way the effects of R - ratio between the tensions intensity, minimum and maximum - for a set of tests in the same material.
In addition to the ease of application, the Alpha-Beta Model allows precise adjustment of the experimental points that do not follow the linearity in region II proposed by the [[Paris' law]], since it is known that some ductile materials and some [[alloy | metallic alloy]] have these linearity deviations<ref>C. A. R. P. Baptista ;
<div style="text-align: center;"><math>Y=ln\frac{da}{dN}\cdot\Delta K</math></
Representing in a graph Y (ΔK) for any value of R the result obtained is exactly a decreasing straight line, as shown in the figure below:
[[File:Y(∆K).jpg|center
Then Y varies linearly as a function of ΔK and therefore can be written by a line equation: <div style="text-align: center;"><math>Y=\alpha\Delta K+\beta</math></
== Individual Alpha-Beta Model ==
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The substitution of Y in the Alpha-Beta Model gives rise to the individual model, used to calculate a single experiment, represented by:
<div style="text-align: center;"><math>\frac{da}{dN}=e^\alpha \cdot e^\tfrac{\beta}{\Delta K}</math></
The constants α and β are calculated from experimental data concerning the assay to be described. In the interval 0 <da / dN <1, they always assume negative values.
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Since the curves of Y (ΔK) behave like parallel lines, this means that a single angular coefficient can be adopted for all the tests. If α is a single value for all the tests it is characterized that the constant β is responsible for the representation of the effect of R. The investigation of the constant β described as a function of R leads to a linear adjustment as in the figure below:
[[File:Beta_log_R.jpg|center
<div style="text-align: center;"><math>\beta=\delta\log(R)+\gamma</math></
<div style="text-align: center;"><math>Y=\alpha\Delta K+\delta\log(R)+\gamma</math></
[[File:Plano_Fadiga.jpg|center
The coefficients α, δ, γ are easily found from the experimental data by the mathematical method of first order linear regression in space R <sup> 3 </sup> known as [[least squares | least squares method]]. Substituting the β equation into the Individual Alpha-Beta Model gives the equation of the generalized bi-parametric model.
<div style="text-align: center;"><math>\frac{da}{dN}=e^\alpha \cdot e^\tfrac{\delta\log(R)+\gamma}{\Delta K}</math></
==
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