2019
DOI: 10.1016/j.compositesb.2018.08.032
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Numerically-aided 3D printed random isotropic porous materials approaching the Hashin-Shtrikman bounds

Abstract: The present study introduces a methodology that allows to combine 3D printing, experimental testing, numerical and analytical modeling to create random closed-cell porous materials with statistically controlled and isotropic overall elastic properties that are extremely close to the relevant Hashin-Shtrikman bounds.In this first study, we focus our experimental and 3D printing efforts to isotropic random microstructures consisting of single-sized (i.e. monodisperse) spherical voids embedded in a homogeneous so… Show more

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Cited by 45 publications
(43 citation statements)
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“…For the magnetostrictive two-phase composites at hand, we consider a three dimensional cubic periodic RVE, which occupies a reference volume of V # 0 = L 3 . We then generate a random distribution of non-overlapping spherical particles of different size in the RVE using the random sequential adsorption (RSA) algorithm (Rintoul and Torquato, 1997;Segurado and Llorca, 2002;Anoukou et al, 2018;Zerhouni et al, 2019). For efficient meshing and to avoid excessive mesh distortions, the minimum distance between two particles is considered to be 1.05 times the average diameter of the two particles.…”
Section: Numerical Computations Of the Effective Responsementioning
confidence: 99%
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“…For the magnetostrictive two-phase composites at hand, we consider a three dimensional cubic periodic RVE, which occupies a reference volume of V # 0 = L 3 . We then generate a random distribution of non-overlapping spherical particles of different size in the RVE using the random sequential adsorption (RSA) algorithm (Rintoul and Torquato, 1997;Segurado and Llorca, 2002;Anoukou et al, 2018;Zerhouni et al, 2019). For efficient meshing and to avoid excessive mesh distortions, the minimum distance between two particles is considered to be 1.05 times the average diameter of the two particles.…”
Section: Numerical Computations Of the Effective Responsementioning
confidence: 99%
“…The primary variables that define a polydisperse RVE is given by the particle volume fraction c, the equivalent number of monodisperse particles N mono , the size ratio of different families and their relative volume proportions. For a detailed discussion of these RVE constructions the reader is referred to the recent works of Anoukou et al (2018), Zerhouni et al (2019) and Tarantino et al (2019).…”
Section: Appendix B: Particle and Mesh Convergencementioning
confidence: 99%
“…The algorithm is highly versatile, and to date it has been used to generate systems containing random distributions of monodisperse (i.e. single sized) [42], [44] and polydisperse spheres [43], and more recently also mono-and polydisperse ellipsoids of arbitrary aspect ratios and orientations [45]. Polydisperse spherical inclusions are generated from the inclusion center and diameter D i , and those intersecting the cell outer surfaces are cut off and copied to the opposite face of the cube.…”
Section: A Modified Rsa Algorithm For the Generation Of Multi-inclusimentioning
confidence: 99%
“…In order to achieve such high volume fractions of inclusions, especially up to 0.82, we need to modify the RSA algorithm adopted in Refs. [43]- [44]. Specifically, the modified RSA algorithm (which is described in detail in Refs.…”
Section: A Modified Rsa Algorithm For the Generation Of Multi-inclusimentioning
confidence: 99%
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