Hi all,
How do you fit a sieve analysis data to a statistical function?
I have many sieve analysis data of crushed rocks and I'd like to find out
which statistical distributions describe the particular particle size
distributions (PSD) the best. So basically I need to find fitted parameters
to statistical distributions (mostly weibull and truncated lognormal).
Here is an example of particle size (in microns) versus percent weight
retained.
Sieve size Wt% Cumulative passing%
+250 0.1 99.9
-250+180 2.9 97
-180+125 9.5 87.5
-125+90 21.2 66.3
-90+63 29.4 36.9
-63+45 26 10.9
-45 10.9
PSD<-data.frame(size=c(250,180,125,90,63,45,0),retained=c(0.1,2.9,9.5,21.2,29.4,26,10.9),cumulative=c(99.9,97,87.5,66.3,36.9,10.9,0))
The above example is truncated to 350micron and I can't have particles
with minus dimension. Any help will be greatly appreciated.
Thank you,
Zorig
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