A comprehensive survey of inverse uncertainty quantification of physical model parameters in nuclear system thermal–hydraulics codes
Uncertainty Quantification (UQ) is an essential step in computational model validation
because assessment of the model accuracy requires a concrete, quantifiable measure of …
because assessment of the model accuracy requires a concrete, quantifiable measure of …
Fission gas behaviors and relevant phenomena in different nuclear fuels: A review of models and experiments
J Guo, H Lai, W Zhou, J Wei - Frontiers in Energy Research, 2022 - frontiersin.org
Reactor structural integrity and nuclear safety are seriously affected by the fission gas
behaviors and relevant physical phenomena in nuclear fuels. In this review, the fission gas …
behaviors and relevant physical phenomena in nuclear fuels. In this review, the fission gas …
Scalable inverse uncertainty quantification by hierarchical bayesian modeling and variational inference
Inverse Uncertainty Quantification (IUQ) has gained increasing attention in the field of
nuclear engineering, especially nuclear thermal-hydraulics (TH), where it serves as an …
nuclear engineering, especially nuclear thermal-hydraulics (TH), where it serves as an …
Risk assessment models to improve environmental safety in the field of the economy and organization of construction: A case study of Russia
A Larionov, E Nezhnikova, E Smirnova - Sustainability, 2021 - mdpi.com
This article assesses risks in order to substantiate the economic and organizational
efficiency of housing and industrial construction. This topic is relevant because it is …
efficiency of housing and industrial construction. This topic is relevant because it is …
Reliability estimation of an advanced nuclear fuel using coupled active learning, multifidelity modeling, and subset simulation
Tristructural isotropic (TRISO)-coated particle fuel is a robust nuclear fuel and determining its
reliability is critical for the success of advanced nuclear technologies. However, TRISO …
reliability is critical for the success of advanced nuclear technologies. However, TRISO …
[HTML][HTML] Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems
JC García-Merino, C Calvo-Jurado… - Applied Mathematical …, 2023 - Elsevier
This paper presents a surrogate modelling technique based on domain partitioning for
Bayesian parameter inference of highly nonlinear engineering models. In order to alleviate …
Bayesian parameter inference of highly nonlinear engineering models. In order to alleviate …
Accelerated statistical failure analysis of multifidelity TRISO fuel models
Statistical nuclear fuel failure analysis is critical for the design and development of advanced
reactor technologies. Although Monte Carlo Sampling (MCS) is a standard method of …
reactor technologies. Although Monte Carlo Sampling (MCS) is a standard method of …
Bayesian inverse uncertainty quantification of the physical model parameters for the spallation neutron source first target station
MI Radaideh, L Lin, H Jiang, S Cousineau - Results in Physics, 2022 - Elsevier
The reliability of the mercury spallation target is mission-critical for the neutron science
program of the spallation neutron source at the Oak Ridge National Laboratory. We present …
program of the spallation neutron source at the Oak Ridge National Laboratory. We present …
PyVBMC: Efficient Bayesian inference in python
PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC)
algorithm for posterior and model inference for black-box computational models (Acerbi …
algorithm for posterior and model inference for black-box computational models (Acerbi …
Exploring the effects of Al and Si dopants on the accident tolerant fuels of UO2 pellets for light water reactor
This study investigates the potential of Al and Si dopants to enhance the performance of UO
2 pellets used in accident tolerant fuel for light water reactors. These dopants are anticipated …
2 pellets used in accident tolerant fuel for light water reactors. These dopants are anticipated …