TENDL: complete nuclear data library for innovative nuclear science and technology
The TENDL library is now established as one of the major nuclear data libraries in the world,
striving for completeness and quality of nuclear data files for all isotopes, evaluation …
striving for completeness and quality of nuclear data files for all isotopes, evaluation …
A new surrogate modeling technique combining Kriging and polynomial chaos expansions–Application to uncertainty analysis in computational dosimetry
In numerical dosimetry, the recent advances in high performance computing led to a strong
reduction of the required computational time to assess the specific absorption rate (SAR) …
reduction of the required computational time to assess the specific absorption rate (SAR) …
Adaptive weighted least-squares polynomial chaos expansion with basis adaptivity and sequential adaptive sampling
An efficient framework to obtain stochastic models of responses with polynomial chaos
expansion (PCE) using an adaptive least-squares approach is presented in this paper. PCE …
expansion (PCE) using an adaptive least-squares approach is presented in this paper. PCE …
Minimally-invasive parametric model-order reduction for sweep-based radiation transport
We present a parametric reduced-order model for the neutral particle radiation transport
equation. The approach devised is a minimally-intrusive, projection-based reduced-order …
equation. The approach devised is a minimally-intrusive, projection-based reduced-order …
Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation
Frequency response functions (FRFs) are important for assessing the behavior of stochastic
linear dynamic systems. For large systems, their evaluations are time-consuming even for a …
linear dynamic systems. For large systems, their evaluations are time-consuming even for a …
Stochastic model reduction for polynomial chaos expansion of acoustic waves using proper orthogonal decomposition
N El Moçayd, MS Mohamed, D Ouazar… - Reliability Engineering & …, 2020 - Elsevier
We propose a non-intrusive stochastic model reduction method for polynomial chaos
representation of acoustic problems using proper orthogonal decomposition. The random …
representation of acoustic problems using proper orthogonal decomposition. The random …
Surrogate modeling based on resampled polynomial chaos expansions
In surrogate modeling, polynomial chaos expansion (PCE) is popularly utilized to represent
the random model responses, which are computationally expensive and usually obtained by …
the random model responses, which are computationally expensive and usually obtained by …
An uncertainty quantification framework for multiscale parametrically homogenized constitutive models (PHCMs) of polycrystalline Ti alloys
This paper develops an uncertainty quantified, parametrically homogenized constitutive
model (UQ-PHCM) for microstructure-sensitive modeling and simulation at the structural …
model (UQ-PHCM) for microstructure-sensitive modeling and simulation at the structural …
[HTML][HTML] Uncertainty quantification of PWR spent fuel due to nuclear data and modeling parameters
Uncertainties are calculated for pressurized water reactor (PWR) spent nuclear fuel (SNF)
characteristics. The deterministic code STREAM is currently being used as an SNF analysis …
characteristics. The deterministic code STREAM is currently being used as an SNF analysis …
Grid and basis adaptive polynomial chaos techniques for sensitivity and uncertainty analysis
The demand for accurate and computationally affordable sensitivity and uncertainty
techniques is constantly on the rise and has become especially pressing in the nuclear field …
techniques is constantly on the rise and has become especially pressing in the nuclear field …