Speaker
Description
A comprehensive stochastic‑sampling framework has been developed to support sensitivity analysis and uncertainty quantification (SA&UQ) in reactor‑physics and radiation‑transport applications using Serpent 2, the multi‑purpose, three‑dimensional, continuous‑energy neutron and photon transport Monte Carlo code developed at VTT. The methodology integrates conventional random‑sampling techniques with the Total Monte Carlo (TMC) approach, enabling consistent propagation of nuclear‑data uncertainties in conjunction with modeling, geometric, and operational sources of uncertainty. The resulting SA&UQ toolbox provides a unified environment for generating perturbed nuclear‑data libraries, executing large‑scale Monte Carlo campaigns, and performing statistical post‑processing to quantify parameter sensitivities, uncertainty contributions, and correlations across key reactor‑physics responses. This framework strengthens the robustness and credibility of predictive simulations, supports structured verification and validation (V&V) workflows, and enables high‑fidelity SA&UQ analyses for advanced reactor concepts, shielding and dosimetry applications, and coupled multi‑physics environments.
| Session | Others |
|---|