The pearl_chain module

class pylife.materialdata.woehler.pearl_chain.PearlChainProbability(fractures, slope)[source]

Shift all the data point to a normalized load level.

Pearl chain method: consists of shifting the fractured data to a median load level. The shifted data points are assigned to a Rossow failure probability. The scatter in load-cycle direction can be computed from the probability net.

Parameters:

  • fracutres (pd.DataFrame consisting load and cycles) – The data point of the fractures to be shifted.

  • slope (float) – The k_1 slope the data is to be shifted along.

property normed_cycles

The cycles shifted to the normalized load level.

property normed_load

The normalized (shifted) load level.