Abstract
In the present article, a version of the lattice or spring network method is proposed to model the mechanical response of elastic particulate composites with a high volume fraction of spherical particles and with a much weaker matrix compared to the stiffness of the particles. The main subject of the article is the determination of the axial stiffnesses of the springs of the cell. A comparison of the mechanical response of a three-dimensional particulate composite cube obtained using the finite element method and the proposed methodology showed that the efficiency of the proposed methodology increases with an increasing volume fraction of the particles.
1. Introduction
The lattice or spring network method is applied widely in various areas of mechanics: to solve various problems of continuum mechanics, micromechanics, molecular dynamics, fracture mechanics, multiscale modelling, soft materials, and so on [1,2,3,4,5,6]. Apart from that, this method can also be applied to model different materials: metals, concrete, asphalt, ceramics, various composites, particulate solids, granular matter, and biomaterials [7,8,9,10]. In addition, the lattice method can be applied to elasticity and viscoelasticity problems [1], or used as an alternative to the finite element method [2].
The geometry of a cell that approximates a continuum, the model of the spring of the cell, and the determination of the required stiffness parameters of the spring are three of the most important issues in the lattice model. When springs are used as the connecting elements of the nodes of the cells, only one parameter of the springs, i.e., the axial stiffness, has to be determined in terms of the material properties. It is relatively easier to determine the stiffness parameters of the spring for homogeneous materials than for composites. One approach to model composites using the lattice model is to approximate the constituent parts of the composites—for example, the matrix and the particles—by distinct springs for each constituent part of the composite [8,11,12]. In [12], it is assumed that the composite, consisting of bonded spherical particles, is approximated by a network of one-dimensional springs connecting the centres of the interacting spherical particles. The total stiffness of the spring is calculated as the total stiffness of the three distinct springs concatenated in a series. Two springs, the first and third, correspond to the interacting particles, while the intermediate spring corresponds to the bond between the particles. A similar approach was proposed in [13]. In this article, the convex spherical surfaces of the particles and the concave spherical surfaces of the bond element were taken into account in the evaluation of the axial stiffness of the spring that connects the centres of the two interacting particles. In this article, the connecting spring was also modelled as three distinct springs concatenated in series.
In the present paper, the ideas of the evaluation of the stiffness of the spring that connects the centres of two interacting adjacent particles, presented in article [13], are extended by evaluating the lower and upper bounds of the stiffness of the spring. Two different approaches were applied to evaluate the stiffnesses: the conditional connecting element was divided into infinitely small prisms, and infinitely thin rings. The former provides the lower bound and the latter provides the upper bound. The obtained closed-form solutions of both bounds of the stiffnesses were verified using the finite element method by modelling a 3D elastic particulate composite with different particle volume fractions, different Poisson’s ratios, and different ratios of the modulus of elasticity of the particles to the matrix.
A particulate composite consisting of particles embedded in the matrix is approximated by one-dimensional springs that connect the centres of the particles (Figure 1). The springs are characterized by their length , where is the particle diameter and is the distance between the particles, and the axial stiffness is (Figure 1b).
Figure 1.
Modeling concept: a particulate composite with the conditional connecting element (a); a normal interaction of two spheres through a conditional interface member (b); and a spring representing the interaction of the spheres (c).
The following assumptions are valid for the particulate composite and its approximating spring network:
- the particles, matrix and the connecting springs obey the linear elastic law,
- the particles interact with the matrix by their entire surface,
- the particles of the composite do not rotate,
- the interface member connecting two adjacent particles is composed of the matrix and is cylindrical,
- the diameters of the ends of the interface member are the same as of connected particles,
- the interface members interact only with the two adjacent particles and interact with the particles only by the entire surface of the hemispheres,
- the pin-connected springs connect the centres of the adjacent particles,
- the spring is composed of the interface member and two hemispheres, and only carries an axial force.
All quantities related to the particles are denoted by the subscript p and the quantities related to the interface members are denoted by the subscript b. The particle is characterised by the radius , elasticity modulus , and Poisson’s ratio . The interface member is characterised by the cylinder radius and the elasticity constants and , respectively. Two limits and of the axial stiffness can be obtained by considering two different divisions of the connecting element: as parallel and sequentially connected springs (Figure 1).
1.1. Governing Equations for the Lower Bound of the Stiffness
Let us consider the half of the connecting element comprised of a half of the particle and a half of the interface member to obtain the lower bound of the stiffness of the connecting element (Figure 2). The entire hemisphere is denoted hereafter by and its circular basis by . The entire half of the interface member is denoted hereafter by and its circular basis by .
Figure 2.
Concepts of the discretisation of a half of the conditional connecting elements: by parallel connected prisms (a) and by sequentially connected rings (b).
Let the circular bases and of the interface member and the hemisphere (Figure 2a) be divided into n infinitesimal rectangles and so that and , where . Then, the areas of the rectangles , are such that , where is the total area of the circular basis . Let the hemisphere and the interface member (Figure 1a) be divided into infinitesimal parallel connected prisms whose bases are the rectangles so that , ; see Figure 2a.
Then, the stiffness of the prisms and connected sequentially can be expressed as follows (in Figure 2a only half of the prisms are depicted):
where and are the elastic constants of materials of the particle and interface member, respectively. In case of the uniaxial stress state of the particle and the interface member, i.e., when of the conditional connecting element, see Figure 2, the elastic constant and . When it is assumed that, for the conditional connecting element , then , where . Other cases of the elastic constants are also possible. In Equation (1), and are the half lengths of the prisms of the hemispheres and at the points and , respectively. The total stiffness of all prisms , or the stiffness of the connecting element . By letting , we obtain a limit , where is given in Equation (1). The obtained limit can be rewritten as a double integral over , since
where the integrand
The integral of Equation (2) can be expressed as an iterated double integral in the rectangular coordinate system
in the polar coordinates
where . After a change of variable in Equation (7), we obtain
Integration of Equation (8) yields the stiffness of the connecting element as
where , and . It should be noted that, when , then by Equation (9) is undefined due to the division by zero, since . In this case, can be obtained from Equation (7) by letting :
It is easy to notice that the obtained limit of the stiffness in Equation (10) corresponds to the stiffness of the homogeneous cylinder, i.e., , where A is the area of the cross-section of the cylinder, and D is the elastic constant of the cylinder.
1.2. Governing Equations for the Upper Bound of the Stiffness
In this subsection, the upper limit of the stiffness of the connecting element is obtained by dividing the hemisphere and the interface member (Figure 1b) into sequentially connected cylinders of the infinitesimal height . The stiffness of the sequentially connecting cylinders can be expressed as follows:
where is the stiffness of cylinder i of infinitesimal height
In Equations (12) and (13), and are the areas of the cross-sections of the particle and the interface member, respectively, dependent on coordinate z: and . Then, Equation (11) can be rewritten as follows:
The limit of the sum of Equation (14) can be written as an integral
Integration of Equation (15) depends on and
where the arctan and arctanh are the inverse tangent and inverse hyperbolic tangent, respectively. When , then it is not possible to use Equations (16) and (17), since . In this case, can be obtained from Equation (15) by letting
Finally, the stiffness is
1.3. Mathematical Analysis of the Stiffnesses
In this subsection, hereafter, an analysis of the obtained Equations (9), (10), and (19) is presented when .
The stiffnesses and are nonlinear with respect to , , and , where the nonlinearity of a function f is defined as , where is a real number.
When , then
where , and . When , then , and . It is evident that, when both and tend to ∞, then and tend to ∞ as well. In addition, when , then .
The limits and are as follows:
where b is given in the explanations of the notations below Equation (9), and , where I is given in Equations (16)–(18). When , then both and .
It should be noted that tends to with increasing (see Figure 3); therefore, at the big values of , the stiffnesses (Figure 3). In Figure 3, it is also demonstrated that and approach each other when or .
Figure 3.
Dependences of the stiffnesses and on the distance between particles’ surfaces at different modulus of elasticity of interface member as GPa, mm, .
2. Numerical Validation of the Proposed Methodology
Two numerical validations of the proposed methodology are presented hereafter in two subsections. In the first validation, the stiffnesses and are compared with the stiffnesses of the 3D FE models of the connecting elements. In the second one, the mechanical behaviour of the particulate composite cube approximated by the spring model (SM) and modelled by 3D FE is compared. The FE analysis was performed by ANSYS 12.
2.1. Stiffness of the Connecting Element
The obtained Equations (9), (10) and (19) of the stiffnesses and were verified by a 3D FE analysis of the connecting element shown in Figure 4. Two cases were considered. In the first case, GPa, , Pa, . In the second case, GPa, , Pa, . For both cases, m, and m. These parameters of the particles and interface member were chosen so that it would be possible to verify the obtained equations at different moduli of elasticity , Poisson’s ratios , and at the different distances between the surfaces of the particles .
Figure 4.
Geometry of the sample under investigation: a scheme of the connecting element (a), and its discretization by the tetrahedron elements “SOLID187” (b).
The sample under investigation and its FE model, a quarter of the sample consisting of nodes and elements, with mesh are depicted in Figure 4a,b, respectively. The boundary conditions were as follows: was applied to plane B, and was applied to the centre line M (Figure 4a, dotted line) of the FE model. The FE model was discretised by the tetrahedron elements “SOLID187” of 10 nodes of six degrees of freedom (Figure 4). The average size of the finite elements of the particles of the sample was . The volume of the interface material was conditionally divided into two regions. The contact region between spheres was meshed by fine mesh whose average size of the finite elements was , while the remaining volume was meshed by a coarser mesh of an average size (Figure 4b).
The stiffness obtained by the FE method, denoted hereafter as , was obtained by applying a displacement on free plane A (Figure 4a) and was calculated as , where F is the total reaction force of plane B at the displacement .
The calculation results are shown in Figure 5. As we can see from Figure 5, when , then, in the majority of the examined cases, is closer to than to , i.e., . However, when and then is closer to than to . In addition, from Figure 5, we can see that in the majority of cases, except from the case when and , the stiffness . In Figure 5, it is clearly depicted that when .
Figure 5.
Dependences of the stiffnesses and on the modulus of elasticity of the interface member at the different distances between particles mm: mm (a), mm (b), mm (c), and mm (d).
2.2. Mechanical Behaviour of a Particulate Composite Cube
The developed SM was validated by comparing the mechanical responses of a 3D particulate composite (see Figure 6) obtained by the 3D FE method and by SM. The stiffness of the springs of SM was calculated by the developed formulas given in Equations (9) and (10).
Figure 6.
3D model of the cube particulate composite (a) and its spring model (b).
Overall, 126 samples, which differ in the modulus of elasticity of matrix and the volume fraction of the particles , were calculated. The properties of the 3D FE model and the SM are the following (see Figure 6): the diameters of the particles mm and the corresponding volume fractions of the particles %; the dimensions of the cube are (see Figure 6): height mm, width mm and depth mm. The moduli of elasticity of the 3D FE model and the springs of the SM are the following: Pa for the matrix, and Pa for the particles. Poisson’s ratio of the particles and matrix for the 3D FE model are , and the Poisson’s ratios for the particle and matrix are the same, i.e., . The stiffnesses of the springs were calculated by Equations (9) and (10). The elastic constants of the springs for SM were taken as for the uniaxial stress state, i.e., , . Therefore, Poisson’s ratio does not affect the stiffnesses of the springs. The length of the connecting elements and the distance between the particles of the samples depend on the volume fraction : mm for ( mm), mm for ( mm) and mm for ( mm). It is determined that the stiffness is closer to than to as is small enough. Therefore, the results calculated only with the stiffness are presented hereafter. The 3D FE model and SM of the composite consist of tetrahedron lattices.
To validate the proposed methodology, the vertical and horizontal displacements in the directions y and x were imposed to the top planes of the corresponding samples, see Figure 7, and the tensile and shear forces of the 3D FE model were compared with the corresponding tensile and shear forces of the FE model of SM. The boundary conditions for the 3D FE model and SM were as follows: the displacements of the bottom plane of the 3D FE model and SM were restricted fully, i.e., , see Figure 7.
Figure 7.
Tensile and shear displacements applied to the samples: 3D FE model of the cube (a) and a visualization of the spring model (b).
Two loading cases were applied to the specimens to validate the proposed methodology, see Table 1.
Table 1.
Loading cases for the 3D and spring method models.
For the sake of illustration, the shear displacements of the 3D FE model in the direction x subject to loading case LC2 are shown in Figure 8.
Figure 8.
Shear displacements (in m) of the 3D-FE model of the cube in direction x subject to loading case LC2.
The dependences of the tensile and shear forces , , , and , of the loading cases LC1 and LC2 on the ratio calculated by the 3D FE method and by SM, when mm at different Poisson’s ratios and different particles diameters mm in double logarithmic scales, are shown in Figure 9. It should be noticed that the calculated tensile and shear forces and of SM do not depend on Poisson’s ratios , since the calculations were performed as , , i.e., does not depend on Poisson’s ratio.
Figure 9.
Dependences of the tensile forces and for (a); and the shear forces and for (b) of the loading cases LC1 and LC2 on the ratio at different Poisson’s rations when particles’ diameters mm.
As we can see from Figure 9, the agreement between the results of and as well as between and seems very good in double logarithmic scale at various ratios and . However, the relative ratios of the forces and can reveal the agreement between the results better.
The dependences of the relative ratios and of the loading cases LC1 and LC2 on the ratio at different Poisson’s rations and particle diameters in semi-logarithmic scales are shown in Figure 10. The relative ratios of loading case LC1 are shown in Figure 10a,c,e while those for the loading case LC1 are shown in Figure 10b,d,f. The ratios shown in Figure 10a,b correspond to the case when mm, whereas, in (c) and (d), to the case when mm, and in (e) and (f) to the case when mm.
Figure 10.
Dependences of the relative ratios and of the axial and shear forces of loading cases LC1 and LC2 on the ratio at different Poisson’s rations and particles diameters mm: (a,b) as mm; (c,d) as mm; (e,f) as mm.
As we can see from Figure 10, there is not any unique tendency for the ratios and dependent on except for the fact that the variation of the relative ratios is smaller when Pa. From Figure 10, we can also see that for the tension loading case LC1, when mm, the relative difference is the biggest as . However, a similar conclusion is not valid for the shear loading case LC2. Only when mm and , the ratio is the biggest for . The value of the Poisson ratio 0.495 is an extreme case. It real life, for common materials, the Poisson ratio can be assumed as . The analysis showed that, for the calculated cases, the following limits are valid as mm: for the loading case LC1 as and as ; while for the loading case LC2 as , and as . Since the width of the intervals of the relative ratios of the loading case LC2 are less than for the loading case LC1, then the proposed methodology is more accurate for LC2 than for LC1.
The dependencies of the relative ratios of the axial forces of the loading case LC1 on the Poisson ratios at different ratios when the particles’ diameter mm are shown in Figure 11.
Figure 11.
Dependences of the relative ratios of the axial forces of the loading case LC1 on the Poisson ratio at different ratios when particles’ diameter mm.
The figure clearly shows that, when mm, the relative ratio increases with increasing the ratio . In addition, the relative ratio increases with increasing the Poisson ratios and of the particles and matrix, respectively. The relative ratio increases relatively slowly within the interval and sharply when .
The obtained relative ratios may be treated as too big; however, the effective mechanical properties have to know to approximate a particulate composite as a homogeneous solid by the springs. This prognosis is always inaccurate due to many factors affecting the properties of a composite that cannot be taken into account in the calculations. For example, the well known Hashin–Shtrikman lower and upper bounds [14] may also vary within wide intervals.
When Poisson’s ratio , then the obtained axial forces of the 3D FE model of the loading case LC1 can be compared with the axial forces and of the homogeneous cube whose effective elastic moduli and are calculated by Hashin–Shtrikman’s bounds, where is the cross-section area of the cube. The dimensions of the homogeneous cube are the same as for the 3D FE model shown in Figure 6. The moduli and are calculated by taking into account the volume fractions of the particles of the 3DFE model: as mm, as mm, and as mm. The analysis has shown that is closer to than to . It is also determined that the relative ratios when or when mm; however, when or mm, then . Therefore, when the distance between the particles’ surfaces decrease, the efficiency of the proposed methodology increases in comparison to the Hashin–Shtrikman bounds. It should be noted that the already existing methodologies for predicting the effective mechanical properties of composites cannot be applied directly to the lattice model, since the stiffnesses of the connecting element are to be determined. The extra methodology has to be involved in the calculations. These considerations show that the proposed methodology can be useful for predicting the stiffness constants of the connecting element. Moreover, as the analysis showed, the greater the ratio is, the more accurate is the proposed methodology in comparison to well-known methodologies of the prediction of the effective mechanical properties of the composites due to the fact that the relative ratios and , do not increase very much with increasing the ratio .
3. Conclusions
The evaluation of the axial stiffness of the springs for elastic particulate composites of spherical particles is the main subject of the present article. The methodology takes into account spherical surfaces of the particles and the bond. The closed-form solutions of two upper and lower bounds of stiffness have been obtained.
The obtained formulas have been verified by the three-dimensional FE model of the connecting element. In the majority of cases, the stiffness of the connecting element obtained by the three-dimensional FE model is between the lower and upper bounds. In the analysis, it has also been shown that the lower limit of the stiffness is closer to the results obtained by the three-dimensional FE method than the upper limit when the distance between the particle surfaces is small.
The spring model has been verified by a three-dimensional FE model of the elastic particulate composite cube subject to the tension and the shear force when the lower bound of the axial stiffness of the springs was taken into the calculations. It has been shown in the analysis that the absolute values of the relative ratios of the tensile and shear forces of the spring model and the three-dimensional FE models may reach even up to 42%. However, the prognosis of the effective mechanical properties of the composites using the existing methodologies is almost always inaccurate.. Therefore, the proposed methodology of the evaluation of stiffness of the springs has acceptably high accuracy and can be applied to the spring method of particulate composites. The proposed methodology can also be suitable to evaluate the stiffness of the springs of particulate composites of bonded particles when the diameter of the bond is the same as the diameter of the particles.
Author Contributions
D.Z. participated in: conceptualization, methodology creation, validation of the results, writing the original draft along with editing and reviewing it, and visualization; V.R. participated in: methodology creation, numerical analysis, and validation of the results.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
Abbreviations
The following abbreviations and main notations are used in this manuscript:
| and | are elastic constants of the particle and interface member (matrix), respectively |
| and | are moduli of elasticity of the particle and interface member (matrix), respectively |
| and | are shear (in direction x) and normal (in direction y) forces of the the spring model of the particulate composite cube |
| and | are shear (in direction x) and normal (in direction y) forces of the the 3D FE model of the particulate composite cube |
| is stiffness of a spring or a connecting element | |
| and | are limit axial stiffnesses of the spring |
| is stiffness of the connecting element obtained by the FE model | |
| LC1, LC2 | are loading cases |
| is distance between particles’ surfaces | |
| SM | is a spring model consisting of pin-connected springs |
| and | are displacements in directions x and y, respectively |
| and | are radius and diameter of a particle |
| is radius of the interface member | |
| and | are Poisson’s ratios of the particle and interface member (matrix), respectively |
| is particle volume fraction of a composite |
References
- Jagota, A.; Bennison, S. Spring-network and finite-element models for elasticity and fracture. In Non-Linearity and Breakdown in Soft Condensed Matter; Springer: Berlin, Germany, 1994; pp. 186–201. [Google Scholar]
- Ostoja-Starzewski, M. Lattice models in micromechanics. Appl. Mech. Rev. 2002, 55, 35–60. [Google Scholar] [CrossRef]
- Bosia, F.; Merlino, M.; Pugno, N.M. Fatigue of self-healing hierarchical soft nanomaterials: The case study of the tendon in sportsmen. J. Mater. Res. 2015, 30, 2–9. [Google Scholar] [CrossRef]
- Pal, R.K.; Ruzzene, M.; Rimoli, J.J. A continuum model for nonlinear lattices under large deformations. Int. J. Solids Struct. 2016, 96, 300–319. [Google Scholar] [CrossRef]
- Wang, G.; Al-Ostaz, A.; Cheng, A.D. Mantena, P. Hybrid lattice particle modeling: Theoretical considerations for a 2D elastic spring network for dynamic fracture simulations. Comput. Mater. Sci. 2009, 44, 1126–1134. [Google Scholar] [CrossRef]
- Chen, H.; Meng, L.; Chen, S.; Jiao, Y.; Liu, Y. Numerical investigation of microstructure effect on mechanical properties of bi-continuous and particulate reinforced composite materials. Comput. Mater. Sci. 2016, 122, 288–294. [Google Scholar] [CrossRef]
- Dosta, M.; Dale, S.; Antonyuk, S.; Wassgren, C.; Heinrich, S.; Litster, J.D. Numerical and experimental analysis of influence of granule microstructure on its compression breakage. Powder Technol. 2016, 299, 87–97. [Google Scholar] [CrossRef]
- Jiang, M.; He, J.; Wang, J.; Zhou, Y.; Zhu, F. Discrete element analysis of the mechanical properties of deep-sea methane hydrate-bearing soils considering interparticle bond thickness. Comptes Rendus Mécanique 2017, 345, 868–889. [Google Scholar] [CrossRef]
- Peng, Y.; Sun, L.J. Micromechanics-based analysis of the effect of aggregate homogeneity on the uniaxial penetration test of asphalt mixtures. J. Mater. Civ. Eng. 2016, 28, 04016119. [Google Scholar] [CrossRef]
- Schlangen, E.; Garboczi, E. Fracture simulations of concrete using lattice models: Computational aspects. Eng. Fract. Mech. 1997, 57, 319–332. [Google Scholar] [CrossRef]
- Peng, J.; Wong, L.N.Y.; Teh, C.I. Effects of grain size-to-particle size ratio on micro-cracking behavior using a bonded-particle grain-based model. Int. J. Rock Mech. Min. Sci. 2017, 100, 207–217. [Google Scholar] [CrossRef]
- Potyondy, D.; Cundall, P. A bonded-particle model for rock. Int. J. Rock Mech. Min. Sci. 2004, 41, 1329–1364. [Google Scholar] [CrossRef]
- Zabulionis, D.; Kačianauskas, R.; Rimša, V.; Rojek, J.; Pilkavičius, S. Spring method for modelling of particulate solid composed of spherical particles and weak matrix. Arch. Civ. Mech. Eng. 2015, 15, 775–785. [Google Scholar] [CrossRef]
- Hashin, Z.; Shtrikman, S. A variational approach to the theory of the elastic behaviour of multiphase materials. J. Mech. Phys. Solids 1963, 11, 127–140. [Google Scholar] [CrossRef]
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).