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Resin selection criteria for 'tough' composite structures
Author(s) -
C. C. Chamis,
G. T. Smith
Publication year - 1985
Publication title -
aiaa journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.828
H-Index - 158
eISSN - 1081-0102
pISSN - 0001-1452
DOI - 10.2514/3.9005
Subject(s) - composite number , selection (genetic algorithm) , materials science , composite material , toughness , material selection , inverse , structural engineering , variety (cybernetics) , mathematics , computer science , engineering , geometry , statistics , artificial intelligence
Resin selection criteria are derived using a structured methodology consisting of an upward integrated mechanistic theory and its inverse (top-down structured theory). These criteria are expressed in a 'criteria selection space' which can be used to identify resin bulk properties for improved composite 'toughness'. The resin selection criteria correlate with a variety of experimental data including laminate strength, elevated temperature effects and impact resistance.

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