Pecquet, M Jean (2022) Accelerating the estimation of material properties with PuMA using Multilevel Monte Carlo methods PRE - Research Project, ENSTA.



Spacecraft thermal protection systems make extensive use of fibrous materials for insulation and reinforcement. Recent efforts have been made to improve microscale modeling of such materials to inform macroscale models. Here, we investigate the effective properties of computational models of typical fibrous materials using the PuMA (Porous Microstructure Analysis) software. We characterize the effective thermal conductivity as a function of material sample volume. We then propose and evaluate two Multilevel Monte Carlo methods to estimate mean effective properties at a reduced computational cost, with one method showing potential for significant cost reduction.

Item Type:Thesis (PRE - Research Project)
Uncontrolled Keywords:fibrous material, thermal protection system, microstructure, thermal conductivity, effective property, Multilevel Monte Carlo
Subjects:Mathematics and Applications
Materials Science, Mechanics and Mechanical Engineering
ID Code:9162
Deposited By:Jean Pecquet
Deposited On:05 juin 2023 11:47
Dernière modification:05 juin 2023 11:47

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