Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

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

Technical Report ·
DOI:https://doi.org/10.2172/1885882· OSTI ID:1885882

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.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
NA0003525
OSTI ID:
1885882
Report Number(s):
SAND2022-11856; 709525
Country of Publication:
United States
Language:
English

Similar Records

Efficient algorithms for mixed aleatory-epistemic uncertainty quantification with application to radiation-hardened electronics. Part I, algorithms and benchmark results.
Technical Report · Tue Sep 01 00:00:00 EDT 2009 · OSTI ID:972887

Leveraging Intrinsic Principal Directions for Multifidelity Uncertainty Quantification
Technical Report · Sat Sep 01 00:00:00 EDT 2018 · OSTI ID:1475254

Multifidelity uncertainty quantification with models based on dissimilar parameters
Journal Article · Sat Aug 05 00:00:00 EDT 2023 · Computer Methods in Applied Mechanics and Engineering · OSTI ID:2311523

Related Subjects