New question #693474 on Yade:
https://answers.launchpad.net/yade/+question/693474
Dear all,
I am using the function:
Ip2_JCFpmMat_JCFpmMat_JCFpmPhys(
xSectionWeibullScaleParameter=xSectionScale,
xSectionWeibullShapeParameter=xSectionShape,
To insert a certain Fn,max heterogeneity in my aggregate pack. However, when I
check the Fn,max distribution (pos pack creation) with the imputed values of
Weibull shape and scale, it does not match.
For instance, using xSectionScale of 1 and shape of 5 as imput, I obtained a
Fn,max distribution with a shape factor of 2,46 and a scale factor of 1,82.
For this I have used the linear distribution of Weibull and regression to
calculate the parameters.
Does it make sense to you or it is not the expected result?
Thanks
Luis
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