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A summary of validation results for LEWICE 2.0
Author(s) -
William Wright
Publication year - 1999
Publication title -
38th aerospace sciences meeting and exhibit
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.1999-249
Subject(s) - robustness (evolution) , computer science , icing , set (abstract data type) , data set , code (set theory) , data mining , meteorology , remote sensing , artificial intelligence , geology , programming language , biochemistry , chemistry , physics , gene
A research project is underway at NASA Lewis to produce a computer code which can accurately predict ice growth under any meteorological conditions for any aircraft surface. This report will present results from version 2.0 of this code, which is called LEWICE. This version differs from previous releases due to its robustness and its ability to reproduce results accurately for different point spacing, and time step criteria across general computing platforms. It also differs in the extensive amount of effort undertaken to compare the results in a quantifiable manner against the database of ice shapes which have been generated in the NASA Lewis Icing, Research Tunnel (IRT), The complete set of data used for this comparison is available in a recent contractor report . The result of this comparison shows that the difference between the predicted ice shape from LEWICE 2.0 and the average of the experimental data is 7.2% while the variability of the experimental data is 2.5%.

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