Scalable algorithms for three-field mixed finite element coupled poromechanics
Creators
- 1. Stanford University, CA (United States). Energy Resources Engineering
- 2. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States). Atmospheric, Earth and Energy Division
- 3. University of Padova (Italy). Dept. of Civil, Environmental and Architectural Engineering
Description
We introduce a class of block preconditioners for accelerating the iterative solution of coupled poromechanics equations based on a three-field formulation. The use of a displacement/velocity/pressure mixed finite-element method combined with a first order backward difference formula for the approximation of time derivatives produces a sequence of linear systems with a 3 x 3 unsymmetric and indefinite block matrix. The preconditioners are obtained by approximating the two-level Schur complement with the aid of physically-based arguments that can be also generalized in a purely algebraic approach. A theoretical and experimental analysis is presented that provides evidence of the robustness, efficiency and scalability of the proposed algorithm. In conclusion, the performance is also assessed for a real-world challenging consolidation experiment of a shallow formation.
Availability note (English)
Available from https://www.osti.gov/servlets/purl/1463016; https://www.osti.gov/biblio/1463016; DOE Accepted Manuscript full text, or the publishers Best Available Version will be available free of charge after the embargo periodAdditional details
Identifiers
Publishing Information
- Journal Title
- Journal of Computational Physics
- Journal Volume
- 327
- Journal Issue
- C
- Journal Page Range
- p. 894-918
- ISSN
- 0021-9991
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 51034928
- Subject category
- S58: GEOSCIENCES; S42: ENGINEERING; S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ALGORITHMS; FINITE ELEMENT METHOD; ITERATIVE METHODS
- Descriptors DEC
- CALCULATION METHODS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; NUMERICAL SOLUTION
Optional Information
- Contract/Grant/Project number
- AC52-07NA27344; AC52-07-NA27344
- Funding organization
- USDOE National Nuclear Security Administration (NNSA) (United States)
- Secondary number(s)
- LLNL-JRNL--737320; OSTIID--1463016