Explores advanced gamma measurement techniques in pebble-bed reactors, highlighting improved accuracy in burnup assessment.
Burnup measurement is essential for monitoring and operating pebble-bed reactors (PBRs), where fuel pebbles circulate rapidly through the core. However, conventional gamma spectroscopy using high-purity germanium (HPGe) detectors is challenging due to high activity levels in discharge pebbles, leading to excessive dead time and Compton scattering. This study explores the use of bent crystal diffraction (BCD) spectrometers to filter the emitted gamma spectrum and isolate key peaks for improved measurement accuracy and speed. Pebble-wise depletion calculations were performed and the resulting spectra were analyzed using ray tracing (SHADOW3) and gamma response modeling (GADRAS). Key isotopes, 137 m Ba/ 137 Cs, 239 Np, 144 Ce, 148 m Pm, and 140 La, were found to strongly correlate with burnup, residence time, core passes, plutonium production, and fluence. Machine learning regression models that were given synthetic spectra achieved a coefficient of determination ( R 2 ) as high as 0.995 for burnup prediction. Among various BCD configurations, mosaic silicon crystals in the (440) orientation combined with an HPGe detector provided optimal performance for measuring 137 Cs decay (via 137 m Ba), while silicon (220) and (440) paired with scintillators were effective for the shorter-lived isotopes.
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Kolaja et al. (2026) studied this question.
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