Uncertainty Quantification of Analytic Radiation-Driven Nonlinear Heat Waves

Abstract Uncertainty quantification (UQ) methods are applied to a known equilibrium diffusion thermal radiation wave solution, the Marshak wave, to estimate statistical properties of some diagnostics, the wave breakout time and material temperature profile, in the presence of uncertain material properties and experimental parameters. It is shown that polynomial chaos expansions (PCE) are well suited for representing the analytic breakout time function and moments of the temperature profile, but are a poor choice for calculating percentile values of the temperature profile, which possess sharp wavefronts. The results presented are intended to benchmark uncertainty quantifying radiative transfer codes and provide qualitative insight into the interpretation of experimental results with measurement errors as well as to present an illustrative example of the limitations of polynomial chaos expansions on functions with steep gradients.

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Publication Details

Journal
Journal of Verification Validation and Uncertainty Quantification
Published
2025-09-01
DOI
https://doi.org/10.1115/1.4071317
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
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article

Uncertainty Quantification of Analytic Radiation-Driven Nonlinear Heat Waves

William M. Bennett, Ryan G. McClarren
Journal of Verification Validation and Uncertainty Quantification
Probabilistic and Robust Engineering Design
article

Uncertainty Quantification of Analytic Radiation-Driven Nonlinear Heat Waves

William M. Bennett, Ryan G. McClarren
article en

Abstract

Abstract Uncertainty quantification (UQ) methods are applied to a known equilibrium diffusion thermal radiation wave solution, the Marshak wave, to estimate statistical properties of some diagnostics, the wave breakout time and material temperature profile, in the presence of uncertain material properties and experimental parameters. It is shown that polynomial chaos expansions (PCE) are well suited for representing the analytic breakout time function and moments of the temperature profile, but are a poor choice for calculating percentile values of the temperature profile, which possess sharp wavefronts. The results presented are intended to benchmark uncertainty quantifying radiative transfer codes and provide qualitative insight into the interpretation of experimental results with measurement errors as well as to present an illustrative example of the limitations of polynomial chaos expansions on functions with steep gradients.

Journal of Verification Validation and Uncertainty QuantificationVol. 10(3)
University of Notre Dame (US), Los Alamos National Laboratory (US)
Openalex Percentile: Top 21%
Probabilistic and Robust Engineering Design
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Uncertainty Quantification of Analytic Radiation-Driven Nonlinear Heat Waves — William M. Bennett, Ryan G. McClarren · Journal of Verification Validation and Uncertainty Quantification (2025) | TGRS Research Map | TGRS