Publications

Johnson, Kyle J.; Swiler, Laura P.; Rodgers, Theron R.; Jared, Bradley H.; Subia, Samuel R.; Ford, Kurtis R.; Stender, Michael S.; Bishop, Joseph E.

Abstract not provided.

Martinez, Mario J.; Red-Horse, John R.; Carnes, Brian C.; Mesh, Mikhail M.; Field, Richard V.; Davison, Scott M.; Yoon, Hongkyu Y.; Bishop, Joseph E.; Newell, Pania N.; Notz, Patrick N.; Turner, Daniel Z.; Subia, Samuel R.; Hopkins, Polly L.; Moffat, Harry K.; Jove Colon, Carlos F.; Dewers, Thomas D.; Klise, Katherine A.

This document summarizes research performed under the SNL LDRD entitled - Computational Mechanics for Geosystems Management to Support the Energy and Natural Resources Mission. The main accomplishment was development of a foundational SNL capability for computational thermal, chemical, fluid, and solid mechanics analysis of geosystems. The code was developed within the SNL Sierra software system. This report summarizes the capabilities of the simulation code and the supporting research and development conducted under this LDRD. The main goal of this project was the development of a foundational capability for coupled thermal, hydrological, mechanical, chemical (THMC) simulation of heterogeneous geosystems utilizing massively parallel processing. To solve these complex issues, this project integrated research in numerical mathematics and algorithms for chemically reactive multiphase systems with computer science research in adaptive coupled solution control and framework architecture. This report summarizes and demonstrates the capabilities that were developed together with the supporting research underlying the models. Key accomplishments are: (1) General capability for modeling nonisothermal, multiphase, multicomponent flow in heterogeneous porous geologic materials; (2) General capability to model multiphase reactive transport of species in heterogeneous porous media; (3) Constitutive models for describing real, general geomaterials under multiphase conditions utilizing laboratory data; (4) General capability to couple nonisothermal reactive flow with geomechanics (THMC); (5) Phase behavior thermodynamics for the CO2-H2O-NaCl system. General implementation enables modeling of other fluid mixtures. Adaptive look-up tables enable thermodynamic capability to other simulators; (6) Capability for statistical modeling of heterogeneity in geologic materials; and (7) Simulator utilizes unstructured grids on parallel processing computers.

Adams, Brian M.; Wittwer, Jonathan W.; Bichon, Barron J.; Carnes, Brian C.; Copps, Kevin D.; Eldred, Michael S.; Hopkins, Matthew M.; Neckels, David C.; Notz, Patrick N.; Subia, Samuel R.

This report documents the results for an FY06 ASC Algorithms Level 2 milestone combining error estimation and adaptivity, uncertainty quantification, and probabilistic design capabilities applied to the analysis and design of bistable MEMS. Through the use of error estimation and adaptive mesh refinement, solution verification can be performed in an automated and parameter-adaptive manner. The resulting uncertainty analysis and probabilistic design studies are shown to be more accurate, efficient, reliable, and convenient.

Schunk, Randy; Heroux, Michael A.; Rao, Rekha R.; Baer, Thomas A.; Subia, Samuel R.; Sun, Amy C.; Heroux, Michael A.

Abstract not provided.