Use cycle counting to extract discrete simple "equivalent" constant amplitude cycles
from a random loading sequence.
One way to understand “cycle counting” is as a changing stress-strain versus time
signal. Cycle counting counts the number of stress-strain hysteresis loops and keeps
track of their range/mean or maximum/minimum values.
Rainflow cycle counting is the most widely used cycle counting method. It requires
that the stress time history be converted to just peaks and valleys and rearranged
so it starts either with the highest peak or the lowest valley (whichever is greater
in absolute magnitude). Then, three consecutive stress points (1, 2, and 3) will
define two consecutive ranges as and . A cycle from point 1 to 2 is only extracted if . Once a cycle is extracted, the two points forming
the cycle are discarded and the remaining points are connected to each other. This
procedure is repeated until the remaining data points are exhausted. The process of
rainflow counting in SimSolid is illustrated using an
example below.
Example Using Simple Load History
Consider the following load history:Since it is continuous, this load history is converted into a load history
with peaks and valleys only:1, 2, 3, and 4 are the four peaks and valleys. Point 4 is the peak stress in
the load history and moves to the front during rearrangement as shown in Figure 3. After
rearrangement, the peaks and valleys are renumbered.
Next, pick the first three stress values (1, 2, and 3) and determine if a cycle is
present. If represents the stress value, point I, then
Since , no cycle is extracted from point 1 to 2. Now
consider the next three points as follows:
, so a cycle is extracted from point 2 to 3. Since a
cycle has been extracted, delete the two points from the graph.
Apply the same process to the remaining points:
In this case, so another cycle is extracted from point 1 to 4.
These two points are discarded. There are five points remaining, therefore the
rainflow counting process is complete.
Two cycles (2 → 3 and 1 → 4) have been extracted from this load history. One of the
main reasons for choosing the highest peak/valley and rearranging the load history
is to guarantee that the largest cycle is always extracted (in this case, it is 1 →
4). If you observe the load history prior to rearrangement, and conduct the same
rainflow counting process on it, the 1 → 4 cycle is not extracted.
Example Using More Complex Load History
The rainflow counting process is the same regardless of the number of load-history
points. However, depending on the location of the highest peak/valley used for
rearrangement, it may not be obvious how the rearrangement process is conducted. The
following example shows just the rearrangement process for a more complex
load-history. The subsequent rainflow counting is just an extrapolation of the
process mentioned in the simple example above, and is not repeated here.
Consider the load history below: Since this load history is continuous, it is converted into a load history
consisting of peaks and valleys only, as follows:
Load point 11 is the highest valued load, so the load history is now rearranged and
renumbered as follows:The load history is rearranged so all points including and after the highest
load are moved to the beginning of the load history and are removed from the end of
the load history.