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Article

Assessment study about the risk of Wilks’ formula for uncertainty quantification of design extension condition scenarios in prototype Gen-IV sodium fast reactor

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Pages 746-755 | Received 01 Sep 2017, Accepted 27 Jan 2018, Published online: 08 Mar 2018

Figures & data

Figure 1. Schematic of PGSFR.

Figure 1. Schematic of PGSFR.

Table 1. Phenomena identification and ranking table (PIRT)

Table 2. Model identification and ranking table (MIRT) of ULOF accident

Table 3. Model identification and ranking table (MIRT) of UTOP accident

Figure 2. Comparison of FOM distribution between the nominal case and uncertainty quantification methods in ULOF accident.

Figure 2. Comparison of FOM distribution between the nominal case and uncertainty quantification methods in ULOF accident.

Figure 3. Trends of 95% upper limit of FOM during Monte Carlo histories in (a) ULOF and (b) UTOP accident.

Figure 3. Trends of 95% upper limit of FOM during Monte Carlo histories in (a) ULOF and (b) UTOP accident.

Figure 4. Comparison of 95% upper FOM with value of third-order Wilks’ formula in ULOF accident.

Figure 4. Comparison of 95% upper FOM with value of third-order Wilks’ formula in ULOF accident.

Figure 5. Trends of 95% upper limit of FOM during Monte Carlo histories in UTOP accident.

Figure 5. Trends of 95% upper limit of FOM during Monte Carlo histories in UTOP accident.

Table 4. Comparison of maximum temperature between Monte Carlo and Wilks’ formula of ULOF and UTOP accident

Table 5. Number of Wilks’ formula cases with under-predicted 95th percentile FOM of ULOF and UTOP accident

Figure 6. Comparison of 95% upper FOM with value of third-order Wilks’ formula in UTOP accident.

Figure 6. Comparison of 95% upper FOM with value of third-order Wilks’ formula in UTOP accident.

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