Multifidelity uncertainty quantification with models based on dissimilar parameters
Multifidelity uncertainty quantification (MF UQ) sampling approaches have been shown to
significantly reduce the variance of statistical estimators while preserving the bias of the …
significantly reduce the variance of statistical estimators while preserving the bias of the …
Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister
Spent nuclear fuel (SNF) assemblies (FAs) contain high-level radioactive waste from
operation of nuclear power plants (NPPs). Their safe storage in dry casks is critical for …
operation of nuclear power plants (NPPs). Their safe storage in dry casks is critical for …
Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool
The paper presents an appropriate and efficient methodology for updating the control
parameters of very large uncertain computational models, which are used for analyzing the …
parameters of very large uncertain computational models, which are used for analyzing the …
Improving Bayesian networks multifidelity surrogate construction with basis adaptation
View Video Presentation: https://doi. org/10.2514/6.2023-0917. vid Surrogate construction is
an essential component for all non-deterministic analyses in science and engineering. The …
an essential component for all non-deterministic analyses in science and engineering. The …
Damage detection of spent nuclear fuel canisters using frequency response functions
This paper investigates the use of the frequency response functions (FRFs) of a sealed
spent-nuclear fuel canister when it is subjected to an external vibration to detect …
spent-nuclear fuel canister when it is subjected to an external vibration to detect …
Probabilistic Learning on Manifolds (PLoM) for cross-scale diagnostics in structural dynamics
This work introduces an efficient methodology for:(i) predicting dynamic responses across a
broad frequency band for large-scale, highly complex structures, and (ii) forecasting their …
broad frequency band for large-scale, highly complex structures, and (ii) forecasting their …
Dominant substructural vibration modes for fully-loaded spent nuclear fuel canisters
This paper investigates the dynamic characteristics of a multilevel structure for the
transportation and storage of spent nuclear fuel (SNF) from commercial power plants. The …
transportation and storage of spent nuclear fuel (SNF) from commercial power plants. The …
Impurity Gas Detection for Spent Nuclear Fuel (SNF) Canisters Using Ultrasonic Sensing and Deep Learning
B Zhuang - 2024 - search.proquest.com
The operation of nuclear power plants (NPPs) produces large amounts of high-level
radioactive waste known as spent nuclear fuel (SNF). Currently, SNF is stored in dry cask …
radioactive waste known as spent nuclear fuel (SNF). Currently, SNF is stored in dry cask …
[PDF][PDF] Improving Bayesian networks multifidelity surrogate construction with basis adaptation.
G Geraci, J Jakeman, M Eldred - 2022 - osti.gov
Surrogate construction is an essential component for all non-deterministic analyses in
science and engineering. The efficient construction of easy and cheaper-to-run alternatives …
science and engineering. The efficient construction of easy and cheaper-to-run alternatives …
Dynamic substructuring for multilevel spent nuclear fuel containers with high modal density
The vibration analysis of a multilevel spent nuclear fuel canister loaded with 68 fuel
assemblies (FA) is considered. The multilevel aspect leads to large numbers of degrees of …
assemblies (FA) is considered. The multilevel aspect leads to large numbers of degrees of …