A numerical approximation to the elastic properties of sphere-reinforced composites

By Javier Segurado, Javier Llorca. 2002

552 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Civil and Structural Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/75dc1b09c119d1b4844140e726ad70fb0f772355

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In Biomedical Engineering

In Civil and Structural Engineering

In Mechanics of Materials

Citations in the corpus

Simulation of interphase percolation and gradients in polymer nanocomposites (2009, methodology): “To fulfill all the requirements, the random sequential adsorption (RSA) algorithm with additional conditions is adopted to generate the coordinates of the inclusion centers [27,28].”
A unified scheme for prediction of effective moduli of multiphase composites with interface effects. Part I: Theoretical framework (2007, methodology): “Following the comparisons of Segurado and LLorca (2002), and the studies of Ma et al. (2004), it appears that from an overall point of view, the GSCM and the TOA tend to give the best results for spherical particlereinforced composites.”
A local finite element implementation for imposing periodic boundary conditions on composite micromechanical models (2007, methodology): “This method has been used by Segurado and Llorca (2002) and Berger et al. (2005).”
Micromechanics of elasto-plastic materials reinforced with ellipsoidal inclusions (2007, background): “Previous investigations (Hazanov and Huet, 1994; Segurado and LLorca, 2002) have demonstrated that better approximations to the effective composite properties are obtained if periodic boundary conditions (instead of constant forces or linear displacements) are applied to the prism faces, and thus a ”
Computational micromechanics of the transverse and shear behavior of unidirectional fiber reinforced polymers including environmental effects (2017, methodology): “Node positions on opposite faces80 of the RVE’s are identical in order to apply periodic boundary conditions according to the method-81 ology developed by Segurado and LLorca [11].”
Homogenization of carbon/polymer composites with anisotropic distribution of particles and stochastic interface defects (2018, background): “Particle location is chosen in an accidentalwayandnumerical algorithmspresented in [31] or [32] are omitted here principally because this study focuses on an anisotropic representation of the homogenized composite and its impact on the effective tensor.”
Quantification of stochastically stable representative volumes for random heterogeneous materials (2006, background): “Segurado and Llorca [23] in their work performed an analysis of the material properties such as elastic, shear, bulk moduli and Poisson’s ratio with respect to changing the volume fraction of inclusions.”
Mechanical behavior of unidirectional fiber-reinforced polymers under transverse compression: Microscopic mechanisms and modeling (2007, methodology): “Email address: jllorca@mater.upm.es (Javier LLorca).”
Computational evaluation of effective material properties of composites reinforced by randomly distributed spherical particles (2007, background): “Recently, Segurado and Llorca [21] and Böhm et al.”
Failure locus of fiber-reinforced composites under transverse compression and out-of-plane shear (2008, methodology): “E-mail address: jllorca@mater.upm.es (J. LLorca).”
A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials (2017, result): “This is in agreement with analysis of linear modeling, where it has been demonstrated that a limited number of inclusions (∼12–30) is sufficient for capturing the mean response [34,40,205,228].”
Transverse cracking of cross-ply laminates: A computational micromechanics perspective (2015, methodology): “5 μm for AS4 carbon fibers and the fibers were dispersed in the 90◦ ply using the modified random sequential adsorption algorithm [19].”