home  |  about us  |  contact  

This page is part of the CSMD web archive and is not maintained.
Please visit csm.ornl.gov/newsite for the latest CSMD information.

 CSM Home
LDRD Proposal

Adaptive Mesh Refinement for Multiphysics Applications

Mesh generation is a crucial first step for the solution of multi-dimensional problems in field simulation. The accuracy and convergence of computational solutions of mesh-based methods is strongly dependent on the quality of the mesh used. Mesh generation lies at the core of many areas in advanced computational sciences and engineering and has emerged as an enabling technology and a major pacing item in computational modeling and simulation. In particular, adaptive mesh optimization and refinement plays an important role in complex high-fidelity simulation fields. Generation of a quality mesh to support these calculations is a challenging, multi-disciplinary problem.

Oak Ridge National Laboratory (ORNL) has developed methods for generating and optimizing meshes that are comprised of elements of arbitrary polygonal and polyhedral type. In addition, ongoing research within the Computational Mathematics Group at ORNL includes the development of adaptive meshing technology tailored to application areas relevant to other simulation fields. The adaptive meshing approach and its underlying methods can be attractive to many application areas when solving three-dimensional, multi-physics, multi-scale, and time-dependent problems. ORNL has successfully introduced its hybrid meshing and adaptivity to climate modeling, astrophysics simulation, neutronics, modern reactor modeling and simulation.

ORNL’s capability is also geared for generating high-quality adaptive meshes for petascale applications. The advent of petascale computing creates new opportunities for representation of realistic geometries via meshing at an unprecedented fidelity. ORNL’s efforts focus is on developing advanced scalable interoperable software associated with geometry, mesh, adaptivity, and field transformation. It also provides the necessary meshing tools to reach new levels of understanding through the use of high-fidelity calculations based on multiple coupled physical processes and multiple interacting physical scales.

Mesh images

Hybrid meshing and adaptivity for multi-material multi-physics simulations

For more information, please contact:

Ahmed Khamayseh

Ed D'Azevedo


   CSM Projects   
   Advanced Simulation Capability for Environmental Management (ASCEM)   
   The Center for Simulation of RF Wave Interactions with Magnetohydrodynamics (SWIM)   
   Coordinated Infrastructure for Fault Tolerant Systems (CIFTS)   
   Hybrid Multi-Core Consortium   
   Integral Equation Technology   
   MADNESS (Multiresolution Adaptive Numerical Environment for Scientific Simulation)   
   NEAMS Integrated Computational Environment (NiCE)   
   Nuclear Energy Advanced Modeling and Simulation (NEAMS)   
   Reliability, Availability, and Serviceability (RAS) for Petascale High-End Computing and Beyond   
  INCITE Allocated Projects  
   Advanced Simulations of Plasma Microturbulence at the Petascale and Beyond   
   Cellulosic Ethanol: Simulation of Multicomponent Biomass System   
   Climate-Science Computational Development Team: The Climate End Station II   
   High-Fidelity Simulations for Advanced Engine Combustion Research   
   High Fidelity Tokamak Edge Simulation for Efficient Confinement of Fusion Plasma   
   Investigation of Multi-Scale Transport Physics of Fusion Experiments Using Global Gyrokinetic Turbulence Simulations   
   Magnetic Structure and Thermodynamics of Low Dimensional Magnetic Structures   
   Nuclear Structure and Nuclear Reactions   
   Performance Evaluation and Analysis Consortium End Station   
   Petascale Modeling of Chemical Catalysts and Interfaces   
   Three Dimensional Simulations for Core Collapse Supernovae   
   Ultrascale Simulation of Basin-Scale CO2 Sequestration in Deep Geologic Formations and Radionuclide Migration using PFLOTRAN   
   Uncertainty Quantification for Three-Dimensional Reactor Assembly Simulations   
   Understanding the Ultimate Battery Chemistry: Rechargeable Lithium/Air