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Unstructured Grid Adaptation: Status, Potential Impacts, and Recommended Investments Toward CFD Vision 2030Unstructured grid adaptation is a powerful tool to control discretization error for Computational Fluid Dynamics (CFD). It has enabled key increases in the accuracy, automation, and capacity of some fluid simulation applications. Slotnick et al. provides a number of case studies in the CFD Vision 2030 Study: A Path to Revolutionary Computational Aerosciences to illustrate the current state of CFD capability and capacity. The authors forecast the potential impact of emerging High Performance Computing (HPC) environments forecast in the year 2030 and identify that mesh generation and adaptivity continue to be significant bottlenecks in the CFD work flow. These bottlenecks may persist because very little government investment has been targeted in these areas. To motivate investment, the impacts of improved grid adaptation technologies are identified. The CFD Vision 2030 Study roadmap and anticipated capabilities in complementary disciplines are quoted to provide context for the progress made in grid adaptation in the past fifteen years, current status, and a forecast for the next fifteen years with recommended investments. These investments are specific to mesh adaptation and impact other aspects of the CFD process. Finally, a strategy is identified to diffuse grid adaptation technology into production CFD work flows.
Document ID
Document Type
Conference Paper
Park, Michael A. (NASA Langley Research Center Hampton, VA, United States)
Krakos, Joshua A. (Boeing Co. Saint Louis, MO, United States)
Michal, Todd (Boeing Co. Saint Louis, MO, United States)
Loseille, Adrien (Institut National de Recherche d'Informatique et d'Automatique Rocquencourt, France)
Alonso, Juan J. (Stanford Univ. Stanford, CA, United States)
Date Acquired
August 10, 2016
Publication Date
June 13, 2016
Subject Category
Fluid Mechanics and Thermodynamics
Computer Programming and Software
Report/Patent Number
Meeting Information
2016 AIAA Aviation(Washington, DC)
Funding Number(s)
WBS: WBS 109492.
Distribution Limits
Public Use Permitted.

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