Processing math: 100%

SN Curve

The S-N curve, first developed by Wöhler, defines a relationship between stress and number of cycles to failure.

S-N Curve

Typically, the S-N curve (and other fatigue properties) of a material is obtained from experiment through fully reversed rotating bending tests. Due to the large amount of scatter that usually accompanies test results, you should also provide statistical characterization of the data (certainty of survival is used to modify the S-N curve according to the standard error of the curve; a higher reliability level requires a larger certainty of survival).


Figure 1. S-N data from testing
When S-N testing data is presented in a log-log plot of alternating nominal stress amplitude Sa or range SR versus cycles to failure N, the relationship between S and N can be described by straight line segments. Normally, a one or two segment idealization is used.


Figure 2. One segment S-N curves in log-log scale
(1)(1)
S=S1(Nf)b1
for segment 1 (1)
Where:
  • S is the nominal stress range
  • Nf are the fatigue cycles to failure
  • b1 is the first fatigue strength exponent
  • S1 is the fatigue strength coefficient
  • Nc1 is cyclic limit of endurance

The S-N approach is based on elastic cyclic loading, inferring that the S-N curve should be confined, on the life axis, to numbers greater than 1000 cycles. This ensures that no significant plasticity is occurring. This is commonly referred to as high-cycle fatigue.

In Simsolid, the S-N is estimated based on the UTS of the materials as shown below:
  • S1 = 2.1315*UTS
  • b1 = -0.125
  • NC1 = 1E6