Nuclear data (ND) sensitivity and uncertainty (S/U) quantification in shielding applications is performed using deterministic and probabilistic approaches. In this paper the validation of the newly developed deterministic program package ASUSD (ADVANTG + SUSD3D) is presented. ASUSD was developed with the aim of automating the process of ND S/U while retaining the computational efficiency of the deterministic approach to ND S/U analysis. The paper includes a detailed description of each of the programs contained within ASUSD, the computational workflow and validation results.

ASUSD was validated on two shielding benchmark experiments from the Shielding Integral Benchmark Archive and Database (SINBAD) - the fission relevant ASPIS Iron 88 experiment and the fusion relevant Frascati Neutron Generator (FNG) Helium Cooled Pebble Bed (HCPB) Test Blanket Module (TBM) mock-up experiment. The validation process was performed in two stages. Firstly, the Denovo discrete ordinates transport solver was validated as a standalone solver. Secondly, the ASUSD program package as a whole was validated as a ND S/U analysis tool. Both stages of the validation process yielded excellent results, with a maximum difference of 17% in final uncertainties due to ND between ASUSD and the stochastic ND S/U approach. Based on these results, ASUSD has proven to be a user friendly and computationally efficient tool for deterministic ND S/U analysis of shielding geometries.

屏蔽应用中的核数据 (ND) 灵敏度和不确定性 (S/U) 量化是使用确定性和概率方法进行的。在本文中，介绍了新开发的确定性程序包 ASUSD（A DVANTG +  SUSD 3D）的验证。ASUSD 的开发旨在使 ND S/U 过程自动化，同时保持 ND S/U 分析确定性方法的计算效率。该论文详细描述了 ASUSD 中包含的每个程序、计算工作流程和验证结果。

ASUSD 在屏蔽整体基准档案和数据库 (SINBAD) 的两个屏蔽基准实验中得到验证 - 裂变相关的 ASPIS Iron 88 实验和融合相关的弗拉斯卡蒂中子发生器 (FNG) 氦冷球床 (HCPB) 测试毯模块 (TBM)模拟实验。验证过程分两个阶段进行。首先，Denovo 离散坐标传输求解器被验证为独立求解器。其次，整个 ASUSD 程序包被验证为 ND S/U 分析工具。验证过程的两个阶段都产生了出色的结果，由于 ASUSD 和随机 ND S/U 方法之间的 ND，最终不确定性的最大差异为 17%。基于这些结果，