LES Modeling of Non local effects using Statistical Coarse graining
Abstract
The development of coarse-grained and reduced-complexity simulation models continues to be a pacing research challenge in computational physics. For instance, state-of-the-art techniques such as Large Eddy Simulation models are still not effective in many flows -- such as turbulent combustion -- in which sub-filter scales have a significant impact on transport processes. The major obstacle is to effectively reconcile the loss of information in the coarse-graining process and numerical discretization. The broad goal of our work is to approach multiscale/multi-physics modeling with: 1. Minimal heuristics and phenomenology 2. Consideration of numerical implementation 3. lgorithmic efficiency 4. Provable (non-linear) stability 5. Scalable implementation 6. Applicability to complex discretizations 7. Applicable to arbitrarily complex physics/PDEs We pursue several lines of attack towards this end,
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 12, 2019
- Accession Number
- AD1104540
Entities
People
- Karthik Duraisamy
Organizations
- Board of Regents of the University of Michigan