- #1

LT72884

- 335

- 49

hello all. Most the time im pretty good at analyizing data, but today i am struggling. So i need some extra help.

I used a open source program called openFAST to generate this data. openFAST is a wind turbine simulation software.

The graph below is of the a time series calculation from a turbulant wind with an average of 12.9mps. This is of the RootFxb1 loading on the blade which is: Blade 1 flapwise shear force at the blade root. The test was ran for 300 seconds. The graph seems to be cyclic in nature, and what im trying to do is calculate cycles to failure from this data.

now, i do have a python script that takes this RootFxb1 data and calculates the Damage Equivalent Load. The only issue is that it uses a default value of 1 Hrz for the feq (equivalent frequency of damage equivalent load). I am trying to find the actual frequency from this graph or at least an average to use so i can get a better number. Listed below is the graph and the equations used.

nji = load rangers for a time series cycle

Lri = damage count in a time series

nj^steq = equivalant counts

feq = default 1 Hrz

thanks

I used a open source program called openFAST to generate this data. openFAST is a wind turbine simulation software.

The graph below is of the a time series calculation from a turbulant wind with an average of 12.9mps. This is of the RootFxb1 loading on the blade which is: Blade 1 flapwise shear force at the blade root. The test was ran for 300 seconds. The graph seems to be cyclic in nature, and what im trying to do is calculate cycles to failure from this data.

now, i do have a python script that takes this RootFxb1 data and calculates the Damage Equivalent Load. The only issue is that it uses a default value of 1 Hrz for the feq (equivalent frequency of damage equivalent load). I am trying to find the actual frequency from this graph or at least an average to use so i can get a better number. Listed below is the graph and the equations used.

nji = load rangers for a time series cycle

Lri = damage count in a time series

nj^steq = equivalant counts

feq = default 1 Hrz

thanks