| Understanding the load-history of a product while it is in service is a great place to start when designing new products to be fatigue resistant. It is also a great place to start when performing a failure analysis or equivalent damage modeling. However, massive amounts of load-history data can quickly overwhelm most engineering analysts and managers. | ![]() |
| The solution is to present load-history in another form that is simpler and easier to interpret. However, before the data can be presented in another form, the load-history must first be reduced into an array of stress-reversal cycles and counts. The process for reducing the load history is called rain-flow counting. The final output is a histogram of stress-reversal cycles. | ![]() |
| In the graphics within this article, the load-history was reduced to an array of stress-reversal cycles through the process of rain-flow counting and then plotted in two histograms. The first is histogram of cycle ranges and the secondgraphic is a 3D range-mean histogram. The two plots are helpful for visually displaying the load-history. Based on the two one can interpret how stress reversal cycles are distributed during typical service. This information is critical for any type of fatigue or damage analysis. | ![]() |
Engineeringhelper offers data analysis and rain-flow (stress-reversal)counting services for data that was collected by your team or ours. Contact our professional engineering staff to see how we can help with your next analysis.








