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Actinide-Only Burnup Credit for PWR Spent Nuclear Fuel by United States. Dept. of Energy. Yucca Mountain Project

By United States. Dept. of Energy. Yucca Mountain Project Office.; United States. Dept. of Energy.; United States. Dept. of Energy. Office of Scientific and Technical Information

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3-4 Ref. 3-4 Ref. 92 Jranium walls x a d walls Steel walls Ref. 3-5 Ref. 3-5 Ref. 3 1 3xp. xp. 177: k p . 178: %p. 181: Ref. 3-7 Ref. 3-7 Ref. 3-7 Ref. 3 1 Ref. 3 1 Exp. 214R: flux traps (no voids) Exp. 4 Ref. 3- 11 Ref. 46 Core IV: 84 B,C pinsI pitch between assemblies Ref. 02 Core 1 4 12 Gd fuel rods Ref. 09 Ref. 0010 I -T Ref. 3- LO Ref. 0012 UO,/G40, fuel rods: Experiment 20 e' t Ref. 3-10 . 5 : DRAFT 3 -4 March 30, 1997 (257pm) ~~~ I Experiment Case Enrichment ~~ Description Original Reference' U-235 ~~~~ Lattice WatedFuel Volume ALAf -1 ,k i std.

3- 14 Ref. 3-14 Ref. 32-in lattice spacing Ref. 3-14 Ref. 3-14 Ref. 3-14 Ref. 0009 March 30,1997 (257pm) I I I I I I I I I I I I I I I I Table 3-1. Critical Benchmark Experiments for Burnup Credit Method Validation with CSAS/27BURNUPLIB Calculated Results (Continued) I Experiment Case Enrichment U-235 Description Original Reference' (Wt %) I I I I I I I I I I I PUP I PUP I I I I I I UOJFQO, triangular I I I I I Lattice NaterFuel Volume ALA' kat std. dev. 386-in lattice spacing Ref. 3-14 Ref. 3-14 Ref.

N1 a ............ 3 0 I I 15 I I 20 -+. 25 30 Cooling Time (year) Figure 2-3. 2 ISOTOPIC VALIDATION DATA To ensure the accuracy of any computational tool used to predict the isotopic composition in spent fuel, the tool must be validated against a set of measurements performed on spent fuel samples. These samples should test the capabilities of the computational tool over a wide range of p h e t e r s important to the isotopic changes in the fuel assemblies. The following sub-sections present: 1) the isotopic measurement data to be used to validate isotopic computational tools for predicting the selected actinide inventories in spent fuel, 2) an examination of the range of applicability of the data, and 3) the qualification of the data.

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