Theoretical framework and experimental procedure for modelling mesoscopic volume fraction stochastic fluctuations in fiber reinforced composites

DOI10.1016/j.ijsolstr.2008.06.002zbMath1177.74113OpenAlexW2045561539MaRDI QIDQ835931

Johann Guilleminot, Christophe Binetruy, Christian Soize, Djimédo Kondo

Publication date: 31 August 2009

Published in: International Journal of Solids and Structures (Search for Journal in Brave)

Full work available at URL: https://hal-upec-upem.archives-ouvertes.fr/hal-00684818/file/publi-2008-IJSS-45_21_5567-5583-guilleminot-soize-kondo-binetruy-preprint.pdf

zbMATH Keywords

volume fractionmicromechanicscomposite materialsstochastic modellingprobabilistic modelpolynomial chaos expansionKarhunen-Loeve expansionexperimental identification

Mathematics Subject Classification ID

Micromechanics of solids (74M25) Experimental work for problems pertaining to mechanics of deformable solids (74-05) Composite and mixture properties (74E30) Random structure in solid mechanics (74E35)

Related Items (8)

Simulation of a Gaussian random field over a 3D surface for the uncertainty quantification in the composite structures ⋮ Bayesian identification and model comparison for random property fields derived from material microstructure ⋮ Correlation analysis of the elastic‐ideal plastic material behavior of short fiber‐reinforced composites ⋮ Compressed Principal Component Analysis of Non-Gaussian Vectors ⋮ Identification of high-dimension polynomial chaos expansions with random coefficients for non-Gaussian tensor-valued random fields using partial and limited experimental data ⋮ A computational inverse method for identification of non-Gaussian random fields using the Bayesian approach in very high dimension ⋮ Stochastic dynamic stability analysis of composite curved panels subjected to non-uniform partial edge loading ⋮ A computational modeling approach based on random fields for short fiber-reinforced composites with experimental verification by nanoindentation and tensile tests

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• Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure
• Microstructural disorder, mesoscale finite elements and macroscopic response
• The Homogeneous Chaos

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