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Random glass mat reinforced thermoplastic composites. Part VI: Methodology for predicting the stiffness of parts
Author(s) -
Bushko W. C.,
Stokes V. K.
Publication year - 1992
Publication title -
polymer composites
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.577
H-Index - 82
eISSN - 1548-0569
pISSN - 0272-8397
DOI - 10.1002/pc.750130408
Subject(s) - materials science , composite material , stiffness , specific modulus , elastic modulus , characterization (materials science) , young's modulus , glass fiber , material properties , nanotechnology
Abstract Random glass mat reinforced composites have large variations in mechanical properties, requiring a statistical characterization of their elastic properties. The broad distribution of elastic moduli is modeled by a probability density function that determines the statistical characteristics of the material property data. This characterization is used to develop a framework for predicting the stiffness of parts made of these composites. The effective elastic modulus and the structural stiffness of parts have been defined in a statistical sense, and the main properties of the effective moduli have been discussed. The effective elastic modulus, if it exists, is shown to be a system property that must be considered in conjunction with the geometry of the part and the boundary conditions.

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