Material Property Calculator

Engineering Tools, Random, Test Generation

The material property calculator provided by Vibration Research will plot the gRMS vs. time to failure data, determine the slope of the S-N curve, and calculate the material property (m) based on the input data.

Material property can be calculated based on repeated test runs. The steps include:

  • Enter statistical information: gRMS and time or cycles to failure
  • Plot gRMS vs. time (or cycles) on a log-log plot
  • Create a trendline (power-law function)
  • Calculate the slope of the power-law function trendline (b)
  • Calculate m, where:
    • m = (-(1/b))*80% for random waveforms
    • m =(-(1.b))*60% for sinusoidal waveforms

Download Calculator (Excel)

Material Property Calculator

What is the Material Property (m)?

The Fatigue Damage Spectrum (FDS) software options in VibrationVIEW and ObserVIEW create an FDS using weighted time-history files representative of a product’s end-use environment. With the FDS, an engineer can generate a random power spectral density (PSD), resulting in a random profile that is the damage equivalent to the product’s operation.

To accurately calculate the FDS, the engineer must enter the product’s m and Q values. The “m” value is the material property. There are general values for analysis or investigative purposes, but for more in-depth analysis and precise calculation, we can determine an m and Q value for a product.

The m value is more significant in the FDS calculation, and its accuracy can improve the accuracy of the generated FDS. The process to determine the m value is also more involved than that of determining Q.

To accurately determine m, we must create an S-N graph (stress to number of cycles) (Wöhler, 1870). One method to determine the S-N graph is to repeatedly test a product to failure at varying GRMS levels and record the amount of time required to achieve failure. When enough failure runs have been recorded, it is possible to back-calculate a strong approximation of the S-N curve by plotting the data points on a log-log graph and then plotting the power-law model of the data. The slope of the power-law model is equal to b. From b, it is possible to calculate the value of m.

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