LaGriT

LaGriT — Los Alamos Grid Toolbox. LaGriT is a library of user callable tools that provide mesh generation, mesh optimization and dynamic mesh maintenance in two and three dimensions for a variety of applications. Geometric regions within arbitrarily complicated geometries are defined as combinations of bounding surfaces, where the surfaces are described analytically or as tessellated surfaces (triangles and/or quadrilaterals). A variety of techniques for distributing points within these geometric regions are provided. Mesh generation uses a Delaunay tetrahedralization algorithm that respects material interfaces. The data structures created to implement this algorithm are compact and powerful and expandable to include hybrid meshes (tet, hex, prism, pyramid, quadrilateral, triangle, line) however the main algorithms are for triangle and tetrahedral meshes. Mesh refinement, derefinement and smoothing are available to modify the mesh to provide more resolution in areas of interest. Mesh refinement adds nodes to the mesh based on geometric criteria such as edge length or based on field variable shape. Mesh elements may become distorted as mesh nodes move during a time criteria such change in field. Mesh smoothing moves nodes to adapt the mesh to field variable measures, and, at the same time, maintains quality elements. During time dependent (Lagrangian moving mesh) simulation or when nodes are added as a result of refinement operations, mesh reconnection via a series of edge flips can be used to eliminate highly distorted elements.


References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Keurfon Luu: toughio: Pre- and post-processing Python library for TOUGH (2020) not zbMATH
  2. Osthus, Dave; Hyman, Jeffrey D.; Karra, Satish; Panda, Nishant; Srinivasan, Gowri: A probabilistic clustering approach for identifying primary subnetworks of discrete fracture networks with quantified uncertainty (2020)
  3. Srinivasan, Shriram; Cawi, Eric; Hyman, Jeffrey; Osthus, Dave; Hagberg, Aric; Viswanathan, Hari; Srinivasan, Gowri: Physics-informed machine learning for backbone identification in discrete fracture networks (2020)
  4. Sweeney, Matthew R.; Gable, Carl W.; Karra, Satish; Stauffer, Philip H.; Pawar, Rajesh J.; Hyman, Jeffrey D.: Upscaled discrete fracture matrix model (UDFM): an octree-refined continuum representation of fractured porous media (2020)
  5. Srinivasan, Shriram; Karra, Satish; Hyman, Jeffrey; Viswanathan, Hari; Srinivasan, Gowri: Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways (2019)
  6. Agreste, Santa; Ricciardello, Angela: An overlapping domain decomposition method for large-scale problems (2018)
  7. Peter G. Lelièvre; Angela E. Carter-McAuslan; Michael W. Dunham; Drew J. Jones; Mariella Nalepa; Chelsea L.Squires; Cassandra J. Tycholiz; Marc A. Vallée; Colin G .Farquharson: FacetModeller: Software for manual creation, manipulation and analysis of 3D surface-based models (2018) not zbMATH
  8. Srinivasan, Shriram; Hyman, Jeffrey; Karra, Satish; O’Malley, Daniel; Viswanathan, Hari; Srinivasan, Gowri: Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics (2018)
  9. Valera, Manuel; Guo, Zhengyang; Kelly, Priscilla; Matz, Sean; Cantu, Vito Adrian; Percus, Allon G.; Hyman, Jeffrey D.; Srinivasan, Gowri; Viswanathan, Hari S.: Machine learning for graph-based representations of three-dimensional discrete fracture networks (2018)
  10. Mora, L. A. Barrales: 2D vertex modeling for the simulation of grain growth and related phenomena (2010)
  11. Class, Holger; Ebigbo, Anozie; Helmig, Rainer; Dahle, Helge K.; Nordbotten, Jan M.; Celia, Michael A.; Audigane, Pascal; Darcis, Melanie; Ennis-King, Jonathan; Fan, Yaqing; Flemisch, Bernd; Gasda, Sarah E.; Jin, Min; Krug, Stefanie; Labregere, Diane; Beni, Ali Naderi; Pawar, Rajesh J.; Sbai, Adil; Thomas, Sunil G.; Trenty, Laurent; Wei, Lingli: A benchmark study on problems related to CO(_2) storage in geologic formations. Summary and discussion of the results (2009)
  12. Kuprat, Andrew P.; Einstein, Daniel R.: An anisotropic scale-invariant unstructured mesh generator suitable for volumetric imaging data (2009)
  13. Simone, A.; Duarte, C. A.; Van Der Giessen, E.: A Generalized Finite Element Method for polycrystals with discontinuous grain boundaries (2006)
  14. Garimella, Rao V.: Mesh data structure selection for mesh generation and FEA applications (2002)


Further publications can be found at: http://lagrit.lanl.gov/publications.shtml