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Title: A Posteriori Analysis of Adaptive Multiscale Operator Decomposition Methods for Multiphysics Problems

Technical Report ·
DOI:https://doi.org/10.2172/971515· OSTI ID:971515

This project was concerned with the accurate computational error estimation for numerical solutions of multiphysics, multiscale systems that couple different physical processes acting across a large range of scales relevant to the interests of the DOE. Multiscale, multiphysics models are characterized by intimate interactions between different physics across a wide range of scales. This poses significant computational challenges addressed by the proposal, including: (1) Accurate and efficient computation; (2) Complex stability; and (3) Linking different physics. The research in this project focused on Multiscale Operator Decomposition methods for solving multiphysics problems. The general approach is to decompose a multiphysics problem into components involving simpler physics over a relatively limited range of scales, and then to seek the solution of the entire system through some sort of iterative procedure involving solutions of the individual components. MOD is a very widely used technique for solving multiphysics, multiscale problems; it is heavily used throughout the DOE computational landscape. This project made a major advance in the analysis of the solution of multiscale, multiphysics problems.

Research Organization:
Colorado State University, Fort Collins, CO, 80523
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
FG02-04ER25620
OSTI ID:
971515
Report Number(s):
DOE/ER/25620-3; 5338440; TRN: US201206%%3
Country of Publication:
United States
Language:
English