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Title: Stochastic identification of composite material properties from limited experimental databases, Part I: Experimental database construction
Authors: Mehrez, Loujaine ×
Moens, David
Vandepitte, Dirk #
Issue Date: Feb-2012
Publisher: Academic Press
Series Title: Mechanical Systems and Signal Processing vol:27 pages:471-483
Abstract: Composite materials exhibit variability and uncertainties in their material properties with relation to their compositions and manufacturing processes. Conventional deterministic identification of composite material properties involves numerical-experimental characterization techniques. These techniques do not account for the associated spatial variability and uncertainties in the identified properties. The objective of this work is to characterise stochastic macroscopic material properties of heterogeneous composite fabrics from limited-size macro-scale experimental measurements. The work is organised in a sequence of two papers. The first paper, present manuscript, is concerned with the construction of an experimental database of macroscopic material properties of heterogeneous composite fabrics from limited-size macro-scale experimental measurements. The mobility frequency response functions from a number of cantilever-beam specimens of the composite material are measured at selected points along each beam. These direct measurements are introduced to a set of deterministic inverse problems in order to reconstruct a database of heterogeneous Young’s modulus spatial fields. The constructed database will be used, in the second paper of the sequence, to construct a stochastic model of the material properties that account for both aleatory uncertainties, related to sample inter-variability, as well as epistemic uncertainties due to insufficiency of the available data.
ISSN: 0888-3270
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Production Engineering, Machine Design and Automation (PMA) Section
Studiegebied Industriƫle Wetenschappen & Technologie - VIVES Noord
Mechanical Engineering Technology TC, Technology Campus De Nayer Sint-Katelijne-Waver
Technologiecluster Werktuigkundige Industriƫle Ingenieurstechnieken
× corresponding author
# (joint) last author

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