Numerical analysis of the MLMC ensemble scheme for transient heat equations with uncertain inputs

A multilevel Monte Carlo ensemble (MLMCE) coupled with the finite element method is applied to address numerically transient heat equations characterized by random diffusion and Robin coefficients. By incorporating two ensemble averages for the Robin boundary and diffusion coefficients, we present an extended Monte Carlo ensemble scheme tailored for the uncertain transient heat equation. The suggested MLMCE approach resolves a single linear system that entails multiple right-hand-side vectors for a group during each time step, thereby decreasing both the storage requirements and the computational expenses associated with the solution process. Stability analysis and error estimates of the method are derived under some conditions involving two ratios between fluctuations in the thermal conductivity and a random Robin coefficient corresponding to their mean. Numerical experiments are presented to confirm the theoretical results and verify the feasibility and effectiveness of the proposed approach.

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Publication Details

Journal
AIMS Mathematics
Published
2025-01-01
DOI
https://doi.org/10.3934/math.2025884
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
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article

Numerical analysis of the MLMC ensemble scheme for transient heat equations with uncertain inputs

Changlun Ye, Xianbing Luo, Tingfu Yao
AIMS Mathematics
Probabilistic and Robust Engineering Design
article

Numerical analysis of the MLMC ensemble scheme for transient heat equations with uncertain inputs

Changlun Ye, Xianbing Luo, Tingfu Yao
article en

Abstract

A multilevel Monte Carlo ensemble (MLMCE) coupled with the finite element method is applied to address numerically transient heat equations characterized by random diffusion and Robin coefficients. By incorporating two ensemble averages for the Robin boundary and diffusion coefficients, we present an extended Monte Carlo ensemble scheme tailored for the uncertain transient heat equation. The suggested MLMCE approach resolves a single linear system that entails multiple right-hand-side vectors for a group during each time step, thereby decreasing both the storage requirements and the computational expenses associated with the solution process. Stability analysis and error estimates of the method are derived under some conditions involving two ratios between fluctuations in the thermal conductivity and a random Robin coefficient corresponding to their mean. Numerical experiments are presented to confirm the theoretical results and verify the feasibility and effectiveness of the proposed approach.

AIMS MathematicsVol. 10(8)
Guizhou Normal University (CN), Guizhou University (CN), Guiyang University (CN)
Affordable and clean energy
Openalex Percentile: Top 78%
Probabilistic and Robust Engineering Design
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Numerical analysis of the MLMC ensemble scheme for transient heat equations with uncertain inputs — Changlun Ye, Xianbing Luo, et al. · AIMS Mathematics (2025) | TGRS Research Map | TGRS