Hello,
I have a question concerning the choice of the distribution for parameter variations on CDATA, I based myself on data from NUREG 2178 VOL2 section 5 which gives HRR values for motors fires using the gamma distribution function, which I tried to reproduce on CDATA, using the following code :
&MRND ID = 'Peak HRR', DISTRIBUTION_TYPE ='GAMMA ' , ALPHA = 1.1 , BETA = 24.19 /
&MRND ID = 'End of Fire HRR' DISTRIBUTION_TYPE = 'CONSTANT' CONSTANT = 0 /
&MRND ID = 'Peak HRR Time Interval' DISTRIBUTION_TYPE = 'CONSTANT' CONSTANT = 500 /
&MRND ID = 'Fire Time Interval' DISTRIBUTION_TYPE = 'CONSTANT' CONSTANT = 10/
&MRND ID = 'Fire Time Decay' DISTRIBUTION_TYPE = 'CONSTANT' CONSTANT = 10/
&MFIR ID = 'Fire_generator' FIRE_ID = 'Armoire'
FIRE_TIME_GENERATOR_IDS = 'Fire Time Interval' 'Peak HRR Time Interval' 'Fire Time Decay'
FIRE_HRR_GENERATOR_IDS = 'Peak HRR' 'Peak HRR' 'End of Fire HRR' /
From what I could understand the gamma distribution is defined by two parameters ALPHA and BETA, on table 5-3 of NUREG 2178 we have for class c motors an ALPHA= 1.1 and BETA= 24.19 the HRR at the 98th Percentile is 100kw, but what I got in the parametre.csv file was a HRR variation between [0 ; 0.15]kw which doesn't match with the 100kw given in the NUREG 2178, moreover the HRR distribution is a set of point clouds not compatible with a GAMMA distribution law.
I don't understand how CDATA uses the Gamma probability law to generate a distribution. Could you please clarify this point for me ?
Thank you,
Best regards