Statistical analysis of output

[DaraeShin]

Hello,

@jjonkman

I referred to the report “Offshore Code Comparison Collaboration(OC3) for IEA Task 23 Offshore Wind Technology and Deployment(NREL/TP-5000-48191)” that you wrote. Your reports have helped me a lot.

I have a question about how to analyze the analysis results. I saw the graph that "Statistic and DEL" of the analysis results in your report.

1. I would like to know the method you used for statistical analysis. I applied the time-series result value obtained from OpenFAST to the Crunch program for statistical analysis. (Crunch | Wind Research | NREL)
2. If you used crunch, I wonder how to analyze statistics of the maximum, minimum, mean, standard deviation and DEL from raw data(time-series). (For example, statistics of the maximum use the 1/100 maximum value of the raw data)

Best regards,

[jjonkman]

Dear @DaraeShin,

Yes, in the OC3 project, Crunch was used for post-processing the statistics of the time series. In Crunch, the maximum value reported is just that, the maximum value in the time series (rather than some other probabilistic measure). Crunch was also used to post-process rainflow cycle counts, from which DELs were computed in a spreadsheet afterwords. Of course, this project was ran a long time ago (more than 10 years ago now), and now, better post-processors like MCrunch and MLife (or equivalent Python versions) are available.

Best regards,