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where the independent variable

x

is substituted by the stress amplitude

σ

a

. The parameters

of this distribution are

η

and

β

, which may be determined in the simplest way by graphi-

cal method. It is necessary to transform Weibull’s function into the form of a straight line

for this purpose. This is achieved by double logarithm of the transformed form of

Weibull’s function

( ) 1

x

F x

e

β

η

⎛ ⎞

−

⎜ ⎟

⎝ ⎠

= −

, i.e. ( ) 1

a

a

F

e

β

σ

η

σ

⎛ ⎞

−

⎜ ⎟

⎝ ⎠

= −

1

ln ln

ln

ln

ln

1 ( )

a

a

a

F

β

σ

β σ

β η

σ

η

⎛ ⎞

=

=

−

⎜ ⎟

−

⎝ ⎠

and substitution

1

ln ln

1 ( )

a

F

σ

=

−

ln

a

X

σ

=

Y

;

;

a

β

=

;

ln

b

β η

= −

from where it follows that

Y

=

aX

+

b

is the equation of the straight line in the coordinate

system with the respective logarithmic scale.

0,2

0,4

0,6

0,8

1,0

0

20 40 60 80 100

f

i

F

i

0,2

0,4

0,6

0,8

1,0

0 20 40 60 80 100

σ

a

N mm

2

σ

a

N mm

2

a)

b)

Figure 6. Histograms of the probability density and the cumulative function

Figure 7 shows the coordinate system with uniform scale on the coordinates

X

and

Y

(upper and right scale). Starting from expressions for

X

= ln

σ

a

and

Y

= lnln{l/

[

l –

F

(

σ

a

)

]

}

and from this uniform scale, values have been calculated for

σ

a

and for

F

(

σ

a

), the values

of which are given on the lower and left scale. This is how the Weibull’s coordinate

system is obtained. Experimental (empirical) values of cumulative probability

F

(

σ

a

) are

entered for each class of stress amplitudes

σ

a

. A series of points is obtained which follow

closely the straight line. After entering, this set of points is approximated by a straight

line. Coordinates

X

and

Y

enable determination of parameters in the equation of the

straight line,

a

and

b

, and thereby also the parameters of Weibull’s distribution,

η

and

β

.

After approximating experimental points by a straight line, the parameter

η

expressed in

the stress units is read in the intersection of the straight line with the

X

axis, i.e. that is the

stress value for the probability

F

(

σ

a

) = 0.632. Dimensions of parameter

η

are same as

σ

a

,

thus in expression

F

(

σ

a

) the ratio

σ

a

/

η

is a dimensionless value. Parameter

β

= 1.3 is the

part on the

Y

axis for

∆

X

= 1 and represents a dimensionless value.

338

The greatest stress fluctuations have the greatest effect on fatigue of the material. The

number of their occurrences, i.e., the frequency of occurrence is small. In this sense, a

more correct and clear presentation offers the logarithmic form of the cumulative function

shown in Fig. 8. The values of function

H

(

σ

a

) = 1 –

F

(

σ

a

) = 1...0 are multiplied with a

suitable number of stress cycles

n

b

= 106. The multiples are logarithmic for each value

σ

a

and values log(

H

(

σ

a

)

n

b

) are obtained between 1...6. This is the number of the logarithmic