Nowadays, mathematical models of hydrological systems are used routinely to guide
decision making in diverse subjects, such as: environmental and risk assessments, design …

Monte Carlo analysis has become nearly ubiquitous since its introduction, now over 65
years ago. It is an important tool in many assessments of the reliability and robustness of …

Deep geological disposal is a widely accepted approach for safe management and long-
term disposal of high-level radioactive waste (HLW). However, high uncertainty associated …

In this paper, the potential benefits of quasi-Monte Carlo (QMC) methods for uncertainty
propagation are assessed via two applications: a numerical case study and a realistic and …

Civilian and military uses of nuclear energy have produced a legacy of high-level
radioactive wastes posing threats of millennial duration, and their production continues …

Probabilistic methods are used with modeling and simulation to predict variation in system
performance and assess risk due to randomness in model inputs such as material …

In the field of engineering, surrogate models are commonly used for approximating the
behavior of a physical phenomenon in order to reduce the computational costs. Generally, a …

Distribution based sensitivity analysis (DSA) computes sensitivity of the input random
variables with respect to the change in distribution of output response. Although DSA is …

Control room operators respond to abnormal situations through a series of cognitively
demanding activities, eg, monitoring, detection, diagnosis, and response. However …

This paper summarizes the evolution of consequence modeling for a repository for spent
nuclear fuel and high-level radioactive waste at Yucca Mountain in southern Nevada. The …