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Regional Basic Professional Training Course in Korea

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<strong>Regional</strong> <strong>Basic</strong> <strong>Professional</strong> <strong>Tra<strong>in</strong><strong>in</strong>g</strong> <strong>Course</strong> (BPTC) on Nuclear Safety<br />

An additional step of “Check of Experimental Data Cover<strong>in</strong>g (EDC)” is embedded <strong>in</strong><br />

element 2 <strong>in</strong> order to confirm the validity of code uncerta<strong>in</strong>ty parameters before apply<strong>in</strong>g<br />

them to plant calculations. The ma<strong>in</strong> idea to develop the EDC is to extrapolate the code<br />

accuracy which is determ<strong>in</strong>ed <strong>in</strong> step 8 to the uncerta<strong>in</strong>ties of plant calculations. EDC is<br />

described <strong>in</strong> detail elsewhere. KREM adopts nonparametric statistics to quantify the overall<br />

uncerta<strong>in</strong>ty of a LBLOCA at 95% probability and 95% confidence level from 124 plant<br />

calculations accord<strong>in</strong>g to the 3rd Wilks’ formula. These 124 calculations are performed <strong>in</strong><br />

step 12 us<strong>in</strong>g code parameters determ<strong>in</strong>ed <strong>in</strong> steps 8 and 9 and operation parameters from<br />

step 11. Scale biases are also evaluated <strong>in</strong> this step us<strong>in</strong>g the <strong>in</strong>formation of step 10.<br />

Uncerta<strong>in</strong>ties of code models and operation conditions are reflected <strong>in</strong> 124 plant<br />

calculations as multipliers to relevant parameters <strong>in</strong> the code or as <strong>in</strong>put values simply. For<br />

example, Figure 8.7‐8 shows the 124 sampled PCT calculations for Kori unit 3&4.<br />

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