Publications / SAND Report

Deployment of Multifidelity Uncertainty Quantification for Thermal Battery Assessment Part I: Algorithms and Single Cell Results

Eldred, Michael S.; Adams, Brian M.; Geraci, Gianluca G.; Portone, Teresa P.; Ridgway, Elliott M.; Stephens, John A.; Wildey, Timothy M.

This report documents the results of an FY22 ASC V&V level 2 milestone demonstrating new algorithms for multifidelity uncertainty quantification. Part I of the report describes the algorithms, studies their performance on a simple model problem, and then deploys the methods to a thermal battery example from the open literature. Part II (restricted distribution) applies the multifidelity UQ methods to specific thermal batteries of interest to the NNSA/ASC program.