The fraction of overlapping interphase around 2D and 3D polydisperse non-spherical particles: Theoretical and numerical models

Abstract The fraction of interphase is an important microstructure parameter in the prediction of macroscopic properties of particulate composites. Currently, some researchers have presented theoretical and numerical investigations on the interphase fraction for spherical particle systems, and even quantify the influence of interphase fraction on the overall elastic and transport properties of particulate composites. However, the overlapping interphase fraction in polydisperse non-spherical particle systems is still an open issue. In this work, a generic theoretical model is formulated to derive the overlapping interphase fraction for polydisperse 2D non-circular and 3D non-spherical particle systems by means of the statistical geometry of composites. In this model, the morphology of interphase coated onto the surface of non-spherical particles can be characterized by circularity and sphericity of particles that are important parameters to describe the shape of particles. On the other hand, numerical simulations for the one-point probability function of interphase are presented to verify the proposed theoretical framework. In the numerical simulations, a novel algorithm is developed by reducing the problem of identifying the precise location between an arbitrary spatial point and interphase to the basic issue of finding the distance from the point to the surface of particles. If the distance is less than the interphase thickness, the point definitely locates inside interphase. In addition, the algorithm can be further used to detect the overlap between adjacent ellipsoidal particles (2D ellipses). Moreover, a variety of particle shapes (such as regular polygons and ellipses with the same circularity, and regular polyhedrons and ellipsoids with the same sphericity) are taken into account to generate particle packing structures. Then, the fraction of overlapping interphase in each packing structure is statistically obtained. Results show that statistical values are consistent with their theoretical values under the same conditions. This validates the reliability of the theoretical framework. Finally, the effects of particle size distributions and interphase thicknesses on the interphase fraction are investigated. It can be found that the interphase fraction increases with the increase of particle volume fraction, particle fineness and interphase thickness.

[1]  Huisu Chen,et al.  Effects of particle size distribution, shape and volume fraction of aggregates on the wall effect of concrete via random sequential packing of polydispersed ellipsoidal particles , 2013 .

[2]  W. Dridi Analysis of effective diffusivity of cement based materials by multi-scale modelling , 2013 .

[3]  Z. Tan,et al.  Characterization of ITZ in ternary blended cementitious composites: Experiment and simulation , 2013 .

[4]  Huaifa Ma,et al.  Interfacial effect on physical properties of composite media: Interfacial volume fraction with non-spherical hard-core-soft-shell-structured particles , 2015, Scientific Reports.

[5]  Dave Easterbrook,et al.  A three-phase, multi-component ionic transport model for simulation of chloride penetration in concrete , 2015 .

[6]  J. Perram,et al.  Statistical Mechanics of Hard Ellipsoids. I. Overlap Algorithm and the Contact Function , 1985 .

[7]  S. Torquato,et al.  Random Heterogeneous Materials: Microstructure and Macroscopic Properties , 2005 .

[8]  C. C. Yang,et al.  Study of the influence of the interfacial transition zone on the elastic modulus of concrete using a triphasic model , 2016 .

[9]  F. Stillinger,et al.  Jammed hard-particle packings: From Kepler to Bernal and beyond , 2010, 1008.2982.

[10]  Wenxiang Xu,et al.  Thermal conductivity and tortuosity of porous composites considering percolation of porous network: From spherical to polyhedral pores , 2018, Composites Science and Technology.

[11]  C. Q. Li,et al.  Aggregate distribution in concrete with wall effect , 2003 .

[12]  Shunying Ji,et al.  Analytical effective elastic properties of particulate composites with soft interfaces around anisotropic particles , 2016 .

[13]  Edward J. Garboczi,et al.  Analytical formulas for interfacial transition zone properties , 1997 .

[14]  K. Scrivener,et al.  The Interfacial Transition Zone (ITZ) Between Cement Paste and Aggregate in Concrete , 2004 .

[15]  Hui-sheng Shi,et al.  Microstructural characterization of ITZ in blended cement concretes and its relation to transport properties , 2016 .

[16]  Huisu Chen,et al.  Multi-scale modelling for diffusivity based on practical estimation of interfacial properties in cementitious materials , 2017 .

[17]  M. Dijkstra,et al.  Crystal-structure prediction via the floppy-box Monte Carlo algorithm: method and application to hard (non)convex particles. , 2012, The Journal of chemical physics.

[18]  Julien Yvonnet,et al.  A phase-field method for computational modeling of interfacial damage interacting with crack propagation in realistic microstructures obtained by microtomography , 2016 .

[19]  Wenxiang Xu,et al.  Continuum percolation-based tortuosity and thermal conductivity of soft superball systems: shape dependence from octahedra via spheres to cubes. , 2018, Soft matter.

[20]  Torquato,et al.  Nearest-neighbor distribution functions in many-body systems. , 1990, Physical review. A, Atomic, molecular, and optical physics.

[21]  John M. Ting,et al.  A ROBUST ALGORITHM FOR ELLIPSE-BASED DISCRETE ELEMENT MODELLING OF GRANULAR MATERIALS , 1992 .

[22]  Algis Dziugys,et al.  A new approach to detect the contact of two‐dimensional elliptical particles , 2001 .

[23]  Tang-Tat Ng,et al.  Numerical simulations of granular soil using elliptical particles , 1994 .

[24]  Wei Sun,et al.  Aggregate shape effect on the overestimation of ITZ thickness: Quantitative analysis of Platonic particles , 2016 .

[25]  C. Andrade,et al.  Recent durability studies on concrete structure , 2015 .

[26]  J. Provis,et al.  Quantification of the influences of aggregate shape and sampling method on the overestimation of ITZ thickness in cementitious materials , 2018 .

[27]  Huisu Chen,et al.  Overestimation of ITZ thickness around regular polygon and ellipse aggregate , 2017 .

[28]  J. Ollivier,et al.  Interfacial transition zone in concrete , 1995 .

[29]  Wenxiang Xu,et al.  Elastic dependence of particle-reinforced composites on anisotropic particle geometries and reinforced/weak interphase microstructures at nano- and micro-scales , 2018, Composite Structures.

[30]  C. Hellmich,et al.  Micromechanics of ITZ–Aggregate Interaction in Concrete Part I: Stress Concentration , 2014 .

[31]  K. Liew,et al.  A multiscale modeling of CNT-reinforced cement composites , 2016 .

[32]  Yang Jiao,et al.  A general micromechanical framework of effective moduli for the design of nonspherical nano- and micro-particle reinforced composites with interface properties , 2017 .

[33]  K. Liew,et al.  Multiscale simulation of mechanical properties and microstructure of CNT-reinforced cement-based composites , 2017 .

[34]  Xikui Li,et al.  A generalized Hill’s lemma and micromechanically based macroscopic constitutive model for heterogeneous granular materials , 2010 .

[35]  Hongguang Sun,et al.  Transport properties of concrete-like granular materials interacted by their microstructures and particle components , 2017, International Journal of Modern Physics B.

[36]  Q. Wang,et al.  A multi-field coupled mechanical-electric-magnetic-chemical-thermal (MEMCT) theory for material systems , 2018, Computer Methods in Applied Mechanics and Engineering.

[37]  Yang Jiao,et al.  Theoretical framework for percolation threshold, tortuosity and transport properties of porous materials containing 3D non-spherical pores , 2019, International Journal of Engineering Science.

[38]  Shaofan Li,et al.  An atomistic-based interphase zone model for crystalline solids , 2012 .

[39]  Chase E. Zachary,et al.  Improved reconstructions of random media using dilation and erosion processes. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[40]  A. Joshaghani,et al.  Optimizing the mixture design of polymer concrete: An experimental investigation , 2018 .

[41]  Wenxiang Xu,et al.  Elastic properties of particle-reinforced composites containing nonspherical particles of high packing density and interphase: DEM–FEM simulation and micromechanical theory , 2017 .

[42]  Zhigang Zhu,et al.  n-Phase micromechanical framework for the conductivity and elastic modulus of particulate composites: Design to microencapsulated phase change materials (MPCMs)-cementitious composites , 2018 .

[43]  Cooper Random-sequential-packing simulations in three dimensions for spheres. , 1988, Physical review. A, General physics.

[44]  Bernhard Peters,et al.  An approach to simulate the motion of spherical and non-spherical fuel particles in combustion chambers , 2001 .

[45]  F. Stillinger,et al.  Neighbor list collision-driven molecular dynamics simulation for nonspherical hard particles. II. Applications to ellipses and ellipsoids , 2005 .

[46]  Yang Jiao,et al.  Modeling and predicting microstructure evolution in lead/tin alloy via correlation functions and stochastic material reconstruction , 2013 .

[47]  Jian‐Jun Zheng,et al.  Differential Effective Medium Theory for the Chloride Diffusivity of Concrete , 2014 .

[48]  Wenxiang Xu,et al.  Multiple-inclusion model for the transport properties of porous composites considering coupled effects of pores and interphase around spheroidal particles , 2019, International Journal of Mechanical Sciences.

[49]  S. Torquato,et al.  Nearest-surface distribution functions for polydispersed particle systems. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[50]  Richard J. Bathurst,et al.  Numerical simulation of idealized granular assemblies with plane elliptical particles , 1991 .

[51]  Aleksandar Donev,et al.  Neighbor list collision-driven molecular dynamics simulation for nonspherical hard particles. , 2005 .

[52]  J. W. Ju,et al.  A multiphase micromechanical model for hybrid fiber reinforced concrete considering the aggregate and ITZ effects , 2016 .

[53]  Huisu Chen,et al.  Aggregate shape effect on the overestimation of interface thickness for spheroidal particles , 2017 .

[54]  S. Torquato,et al.  Precise algorithms to compute surface correlation functions of two-phase heterogeneous media and their applications. , 2018, Physical review. E.

[55]  David J. Corr,et al.  Experimental study of the interfacial transition zone (ITZ) of model rock-filled concrete (RFC) , 2015 .

[56]  Paulo J.M. Monteiro,et al.  Concrete: A three phase material , 1993 .

[57]  Wenxiang Xu,et al.  Random non-convex particle model for the fraction of interfacial transition zones (ITZs) in fully-graded concrete , 2018 .

[58]  T. Ng,et al.  Contact detection algorithms for three-dimensional ellipsoids in discrete element modelling , 1995 .

[59]  Edward J. Garboczi,et al.  Effect of the Interfacial Transition Zone on the Conductivity of Portland Cement Mortars , 2004 .

[60]  Huisu Chen,et al.  Numerical modeling of drying shrinkage deformation of cement-based composites by coupling multiscale structure model with 3D lattice analyses , 2017 .

[61]  Jacques Vieillard‐Baron,et al.  Phase Transitions of the Classical Hard‐Ellipse System , 1972 .

[62]  Jianjun Zheng,et al.  A numerical algorithm for the ITZ area fraction in concrete with elliptical aggregate particles , 2009 .

[63]  Wenxiang Xu,et al.  Parking simulation of three-dimensional multi-sized star-shaped particles , 2014 .

[64]  J. Bullard,et al.  Contact function, uniform-thickness shell volume, and convexity measure for 3D star-shaped random particles , 2013 .