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development of an output-based adaptive method for multi-dimensional euler and navier-stokes simulationsThe use of computational simulations in the prediction of complex aerodynamic flows is becoming increasingly prevalent in the design process within the aerospace industry. Continuing advancements in both computing technology and algorithmic development are ultimately leading to attempts at simulating ever-larger, more complex problems. However, by increasing the reliance on computational simulations in the design cycle, we must also increase the accuracy of these simulations in order to maintain or improve the reliability arid safety of the resulting aircraft. At the same time, large-scale computational simulations must be made more affordable so that their potential benefits can be fully realized within the design cycle. Thus, a continuing need exists for increasing the accuracy and efficiency of computational algorithms such that computational fluid dynamics can become a viable tool in the design of more reliable, safer aircraft. The objective of this research was the development of an error estimation and grid adaptive strategy for reducing simulation errors in integral outputs (functionals) such as lift or drag from from multi-dimensional Euler and Navier-Stokes simulations. In this final report, we summarize our work during this grant.
Document ID
Document Type
Darmofal, David L.
(Massachusetts Inst. of Tech. Cambridge, MA United States)
Date Acquired
August 21, 2013
Publication Date
January 1, 2003
Subject Category
Computer Programming and Software
Report/Patent Number
Funding Number(s)
Distribution Limits
Work of the US Gov. Public Use Permitted.
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