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. Author manuscript; available in PMC: 2018 Jan 1.
Published in final edited form as: Eng Fract Mech. 2016 Oct 26;169:276–291. doi: 10.1016/j.engfracmech.2016.10.015

An improved interfacial bonding model for material interface modeling

Liqiang Lin 1, Xiaodu Wang 1, Xiaowei Zeng 1,*
PMCID: PMC5455801  NIHMSID: NIHMS830787  PMID: 28584343

Abstract

An improved interfacial bonding model was proposed from potential function point of view to investigate interfacial interactions in polycrystalline materials. It characterizes both attractive and repulsive interfacial interactions and can be applied to model different material interfaces. The path dependence of work-of-separation study indicates that the transformation of separation work is smooth in normal and tangential direction and the proposed model guarantees the consistency of the cohesive constitutive model. The improved interfacial bonding model was verified through a simple compression test in a standard hexagonal structure. The error between analytical solutions and numerical results from the proposed model is reasonable in linear elastic region. Ultimately, we investigated the mechanical behavior of extrafibrillar matrix in bone and the simulation results agreed well with experimental observations of bone fracture.

Keywords: Material interface modeling, Interfacial bonding model, Finite Element simulation, Polycrystalline structure, Bone fracture

1. Introduction

The bulk mechanical behavior of a material is largely determined by its microstructures, e.g. grain and grain boundaries in polycrystalline materials, bi-material interface in composite materials. For instance, in natural staggered composites such as bone and nacre, the brittle tablets are bonded by softer interfaces capable of dissipating a significant amount of energy [1], which makes the material remarkably strong and tough. Therefore, how to characterize and model these interfacial zones has been the focus of intense research. A significant amount of research efforts are being dedicated to develop interfacial zone models, mainly in the simulation of materials failure. The coupled atomistic/continuum interface zone models were developed for the analysis of dynamically propagating crack of interfaces [24]. Gao and Klein [5] proposed a virtual internal bond (VIB) model with randomized cohesive interactions between material particles. This VIB model incorporates an atomic cohesive force law into the constitutive model of materials for modeling deformation and failure in the interfacial region. Additionally, different cohesive zone models were developed to describe interfacial behaviors for material failure analysis [610].

Among different cohesive zone models, the exponential cohesive zone model [7] is one of the most popular interfacial zone models. The constitutive relationship of cohesive fracture is described by a potential in the model, which characterizes the physical debonding behavior. Although the exponential cohesive zone model has gained much popularity in material failure simulations, it has several limitations. It is often based on the assumption that the normal fracture energy equals the shear fracture energy [1113]. This assumption is often not consistent with the experiment proof. In fact, multiple experimental studies indicated that the fracture energies in modes I and mode II are different, e.g. Araki et al. [14], Benzeggagh and Kenane [15], Dollhofer et al. [16], Pang [17], Warrior et al. [18] and Yang et al. [19]. Furthermore, when the interface is under a large normal compression condition, the maximum shear traction Tt* will become negative and this does not appear to be realistic [20]. In addition, with large tangential separation, the maximum normal repulsive traction Tn* will decrease to zero, which might result in surface penetration of two contact surfaces under large compressive displacement.

The original exponential cohesive zone model [7] has been extended and altered by many researchers for different applications. An irreversible exponential cohesive zone model that uses an effective opening displacement was developed by Ortiz and Pandolfi [21] to consider different ratio of tractions along sliding and normal direction under mixed-mode failure. Later, Zhang and Paulino [22] extended the original exponential cohesive zone model to functionally graded materials (FGMs) modeling, which considers the influence of material gradation on crack initiation in mixed-mode fracture problem. Van den Bosch et al. [20] adopted the original exponential cohesive zone model as a mixed-mode exponential cohesive zone model with different normal and shear fracture energy. Recently, Zeng and Li [23] developed a multiscale cohesive zone model, in which the cohesive laws can be obtained from atomic lattice structures.

In this paper, an improved interfacial bonding model was proposed to address the aforementioned problems and to study the interfacial interactions in biological materials, especially to model the organic interface of extrafibrillar matrix in bone. The mechanical responses of bone not only depend on its microstructure, but also depend on different loading conditions [24]. Current experimental studies on bone fracture are mainly in tension or bending tests because it is easy to conduct those tests. Only limited knowledge is available on the mechanical response of bone under compressive loading. In fact, bones in life are usually loaded in compression although they can fail at any loading direction [25, 26]. A few experiments have been conducted to understand the mechanism of bone failure in compression [24, 27, 28]. However, due to the complex character of bone failure under compression [24, 25], it is difficult to pinpoint the key characteristic of bone failure under compression, e.g. shear damage or slippage interaction between collagen and mineral phase causing the irreversible deformation. Therefore, it is necessary to develop numerical models to study bone failure mechanisms under compressive loading. This model was developed from a potential function and it characterizes different potentials/fracture energies, different interfacial strengths and describes attractive and repulsive behaviors of interfacial interactions. This improved interfacial bonding model not only preserves all essential features of an improved exponential cohesive zone model [20], it is also physically realistic with interface under both tension and compression condition. Furthermore, the proposed interfacial bonding model was verified through a simple compression test in a standard hexagonal structure. Ultimately, the proposed interfacial bonding model was employed to study the mechanical behavior of the extrafibrillar matrix in bone.

The paper is organized in seven Sections: in Section 2, the traditional exponential cohesive zone model was reviewed; in Section 3, the improved interfacial bonding model was developed; in Section 4, path dependence of work-of-separation of the improved interfacial bonding model was studied; Section 5 verified the proposed model by analytical solutions; in Section 6, a fracture simulation of extrafibrillar matrix in bone was presented; and Section 7 concluded the present work.

2. Exponential cohesive zone model

Based on a fit to atomistic calculations, the specific fracture energy φ on inter-surfaces between bulks in the exponential cohesive zone model is given by [7]:

φ(Δ)=φ0+φ0exp (Δnδn){[1r+Δnδn]1qr1[q+(rqr1)Δnδn] exp (Δt2δt2)} (1)

Where δn and δt represent normal and shear characteristic lengths related to the debonding process, respectively and r is defined as:

r=Δn*δn

where, Δn* is the value of Δn after complete shear separation with Tn = 0

To yield the realistic results of mixed-mode condition, it is necessary to set q = 1 at potential state. Thus, the potential can be written as [20, 29]:

φ(Δ)=φ0φ0exp (Δnδn)(1+Δnδn) exp (Δt2δt2) (2)

Differentiating Eq.(2) with respect to Δn and Δt yields the tractions, respectively, in normal and tangential directions as:

Tn=φ(Δ)Δn=φnΔnδn2exp (Δnδn) exp (Δt2δt2) (3)
Tt=φ(Δ)Δt=2φtΔtδt2(1+Δnδn) exp (Δnδn) exp (Δt2δt2) (4)

where δn=φnexp(1)σc,δt=φt2exp (1)τc, σc is the normal strength, τc is the shear strength and exp(1)=2.71828. The normal traction Tn as a function of Δn across the surface in the condition of Δt = 0 is illustrated in Fig. 1(a). The value of Tn will reach maximum stress σc when Δn = δn and then decrease to zero. Fig. 1(b) displays the shear traction Tt as a function of Δt with Δn = 0.

Fig. 1.

Fig. 1

(a) Uncoupled normal traction with the maximum traction Tn* at Δnδn=1; (b) Uncoupled shear traction with the maximum traction Tt* at Δtδt=12

The exponential traction-separation model has four independent parameters (φn, φt, σcn and τct) and there is a coupling in the normal and tangential directions. The connections among those independent parameters will lead to unrealistic results. As shown in Fig. 2(a), the evolution of the maximum shear traction Tt* is illustrated as a function of the normal separation. It can be seen that the maximum shear traction Tt* will decrease to zero for increasing normal separations. However, the maximum shear traction Tt* starts to decrease and even become negative when interface is under a large normal compression condition. This situation may lead to unrealistic results for interface under compression condition. In addition, when the interface is under compression, the maximum normal repulsive traction Tn* will decrease to zero with the increasing of shear separation, see Fig. 2(b), and it might result in surface penetration.

Fig. 2.

Fig. 2

(a) The maximum shear traction as a function of normal separation; (b) The maximum normal traction as a function of tangential separation.

3. The development of an improved interfacial bonding model

A potential function usually has a minimum at the equilibrium position in that the interaction force (derivative of the potential) must be attractive when distance is larger than equilibrium position and repulsive when distance is smaller than equilibrium position. To overcome the limitations of the original exponential cohesive zone model [7], the following interface potential function is proposed with four additional variables c1, c2, δ0 and Q:

φ(Δ)=φ0 exp (c2Δnδ0δnδ0){[1+Δnδ0δnδ0](Q1)Q[1+c1Δnδ0δnδ0] exp (Δt2δt2)} (5)

here δ0 represents the equilibrium position; the control variables c1, c2 and Q are determined by the mixed-mode debonding boundary conditions; c1, c2 are used to overcome the unrealistic problem of original exponential cohesive zone model, that is, maximum shear traction Tt* will decrease to zero when interface is under a large normal compression condition; Q is used to prevent surface penetration when interface is in compression; δn is the normal characteristic debonding distance; δt is the tangential characteristic sliding distance; Δn = n · Δ and Δt = t · Δ; n and t are the normal and tangential unit vectors on an element surface, respectively.

Differentiating Eq.(5) with respect to Δn and Δt yields the tractions in normal and tangential directions as:

Tn=φΔn=φnδnδ0exp (cn2Δnδ0δnδ0){cn2(1Qn)(Δnδ0)δnδ0+(Qn1)(1cn2)+[(cn2cn1)Qn+cn1cn2Qn(Δnδ0δnδ0)] exp (Δt2δt2)} (6)
Tt=φΔt=2φtδt{(Δtδt){Qt+cs1QtΔnδ0δnδ0} exp (cs2Δnδ0δnδ0) exp (Δt2δt2)} (7)

where φn is the normal fracture energy and φt is the shear fracture energy, which will be calibrated by different materials. The δ0 in the normal traction-separation law is used to describe the interface thickness. So, when deriving the traction-separation laws, c1, c2, Q were converted into cn1, cn2, Qn in normal traction-separation law and converted into cs1, cs2, Qt in shear traction-separation law. In the proposed interfacial bonding model, the following fracture boundary conditions have to be satisfied for mixed-mode fracture:

  • The opening and sliding fracture energy are defined as:
    φn=δ0+Tn(Δn,0)dΔn,φt=0Tt(δ0,Δt)dΔt (8)
  • Normal and shear fracture energy are minimum at equilibrium position (δ0, 0)
    φΔn|Δn=δ0,Δt=0=0,φΔt|Δn=δ0,Δt=0=0 (9)
  • Normal traction goes to zero (Tn = 0) when normal or tangential separation reaches the complete separation
    Tn(+,Δt)=0,Tn(+Δn,)=0 (10)
  • Shear traction goes to zero (Tt = 0) when tangential or normal separation reaches the complete separation
    Tt(Δn,)=0,Tt(+,Δt)=0 (11)
  • Normal and shear traction reach maximum when the separations reach the critical opening displacements (δn,22δt)
    TnΔn|Δn=δn,Δt=0=0,TtΔt|Δn=δ0,Δt=22δt=0 (12)
    Tn(δn,0)=Tn*,Tt(δ0,22δt)=Tt* (13)
  • Shear traction will keep constant or increase when interface is in compression
    Tt(Δn1,δt)|Δn1<δ0Tt(Δn2,δt)|Δn2<δ0 under condition Δn1<Δn2 (14)
  • Repulsive normal traction will not go to zero when two surfaces are still in contact
    |Tn(Δn,Δt)|Δn<δ0,δt<Δt>0 (15)

From Eqs.(8)(9), we have the normal energy φn = exp(1)σcn − δ0), which requires cn1 = cn2 = 1, we have the shear energy φt=exp (1)2τcδt, which requires Qt = 1. The σc is the normal strength, which can be used to define different interfacial strength in normal direction. The τc is the shear strength, which can be used to describe different interfacial strength in shear direction. To satisfy Eqs.(10)(11), additional conditions (cs1 = 0, cs2 > 0 and Qn = 1) are required. Then, Eqs.(12)(13) will be automatically satisfied, which means when the interface is in tension, it requires cn1 = cn2 = 1, cs1 = 0, cs2 > 0 and Qn = 1. When the interface is in compression, it requires cs1 = 0 and cs2 ≥ 0 to satisfy Eq.(14). In normal direction, it is necessary to set 0 < Qn < 1 to satisfy Eq.(15) to prevent surface penetration.

It is worth mentioning that when cn1 = cn2 = cs1 = cs2 = Qt = Qn = 1 and δ0 = 0, the proposed model can be reduced to the improved exponential cohesive zone model [20].

The Fig. 3 plots the normal and tangential traction-separation laws from the proposed model. The variation of normal traction Tn as a function of Δn across the interface under the condition of Δt = 0 is graphically shown in Fig. 3(a). The value of Tn will increase with increasing normal separation until reaching maximum normal traction Tn*. After the maximum normal traction Tn* has been reached, the normal traction gradually decreases to zero. Fig. 3(b) illustrates the variation of shear traction Tt expressed in terms of Δt under the condition Δn = δ0.

Fig. 3.

Fig. 3

Interfacial traction variation with separation: (a) Uncoupled normal traction; (b) Uncoupled shear traction.

To overcome the unrealistic problem of original exponential cohesive zone model, the control variable cs1, cs2 was introduced in the shear traction-separation law. When the interface is in tension, by setting cs1 = 0, cs2 = 0, it can be seen that the maximum normal traction Tt* will decrease to zero as the normal separation increases, as shown in Fig. 4 (a) (the red line). When the interface is in compression, by setting cs1 = 0, cs2 = 1, the maximum shear traction Tt* increases as the normal separation decreases (c.f. Fig. 4 (a) black line), if cs1 = 0, cs2 = 0, the maximum shear traction Tt* will keep constant (c.f. Fig. 4(a) blue line). In fact, cs1 and cs2 can be tuned to regulate the relation between the maximum shear traction Tt* and the normal separation Δn when interface is in compression.

Fig. 4.

Fig. 4

Compressive condition: (a) The maximum shear traction Tt* as a function of normal separation in compression; (b) The maximum normal repulsive traction Tn* as a function of tangential separation.

From Xu and Needleman’s exponential model, when interface is in tension, it is reasonable to have the maximum normal traction Tn* diminish as the tangential separation reaches to the limit as shown in Fig. 2(a). However, when the interface is in compression, the maximum normal traction Tn* will decrease to zero, thus resulting in the zero resistant to normal deformation and subsequently allowing for surface penetrations. To solve this problem, one method is to degrade the normal traction-separation law to pure contact condition. In the meanwhile, the compressive stiffness was increased by 10 times to prevent surface penetration [30]. The other method is to enforce contact algorithm in the contact surface [31]. In our model, we simply set the value of Qn in the range of 0 < Qn < 1 when interface is in compression to fix the penetration problem. As illustrated in Fig. 4(b), the maximum normal repulsive traction Tn* will not decrease to zero at the condition of large tangential separation. The smaller the value of Qn, the larger the normal traction between the two contact surfaces. Through a parametric study, we found out Qn = 0.43 works very well in our simulation to handle the penetration problem. Thus, the model has the capability to sustain compressive deformation without special treatment or enforcing a contact algorithm.

4. Path dependence of work-of-separation

The amount of energy dissipated strongly depends on separation paths when the normal and shear fracture energy in the interfacial zone are different. To evaluate the energy variation with respect to separation path, it is necessary to study the work-of-separation [20]. Many experimental data illustrates that the work-of-separation in normal direction is not equal to the work in tangential direction, e.g. Araki et al. [14], Benzeggagh and Kenane [15], Dollhofer et al. [16], Pang [17], Warrior et al. [18] and Yang et al. [19]. Therefore, the work-of-separation under combined normal and shear loading is analyzed with unequal normal and shear energy to study the influence of coupling parameters of the proposed interfacial bonding model.

4.1. Non-proportional separation

In the first case, the interfacial zone is loaded in normal direction up to a maximum displacement of Δn,max with Δt = 0. Then, the normal displacement is kept at this maximum point and subsequently the shear loading is applied until completely separation in shear direction(Δt → ∞). The normal work-of-separation, the tangential work-of-separation and the total work is calculated as [10, 20]:

Wtot=Wn+Wt=δ0Δn,maxTn(Δn)|dΔt=0Δn+0Tt(Δt)|dΔn=Δn,maxΔt (16)

In the second case, the interfacial zone is loaded in tangential direction up to a maximum displacement of Δt,max with Δn = δ0. Subsequently, the shear displacement is kept at this maximum point and then loading in normal direction is applied until completely separation(Δn → +∞). The tangential work-of-separation, the normal work-of-separation and the total work is calculated as [10, 20]:

Wtot=Wt+Wn=0Δt,maxTt(Δt)|dΔn=δ0Δt+δ0+Tn(Δn)|dΔt=Δt,maxΔn (17)

As shown in Fig. 5(a) and Fig. 6(a), the total work equals the shear work (Wtot = Wt) when Δn,max = δ0 and the total work equals the normal work (Wtot = Wn) when Δt,max = δ0. Furthermore, the total work varies very smoothly from shear work to normal work (Fig. 5(a) and Fig. 6(a)) or from normal work to shear work (Fig. 5(b) and Fig. 6(b)). The curves of work-of-separation clearly illustrate the realistic changes of work under mixed-mode loading.

Fig. 5.

Fig. 5

(cs2 = 0 with interface under compression, φn = 2.5J/m2, φt = 1.25J/m2): (a) Work-of-separation vs. Δn,max; (b) Work-of-separation vs. Δt,max

Fig. 6.

Fig. 6

(cs2 = 1 with interface under compression, φn = 2.5J/m2, φt = 1.25J/m2): (a) Work-of-separation vs. Δn,max; (b) Work-of-separation vs. Δt,max

4.2. Proportional separation

The proportional separation path is associated with the separation angle (α), which is a realistic coupling separation in both normal and tangential directions. The work-of-separation of proportional separation for the proposed interfacial bonding model is defined as [10]:

Wtot=Wn+Wt=δ0+Tn(Δsinα,Δcosα)sinαdΔn+0Tt(Δsinα,Δcosα)cosαdΔt (18)

where Δ=(Δnδ0)2+Δt2 and δ=(δnδ0)2+δt2.

When the debonding process is along 90° (normal direction), the work-of-separation is pure mode I and it equals normal energy (Wtot = Wn). The work-of-separation is pure mode II during the debonding process when α = 0° and it equals shear energy (Wtot = Wt). One would expect that the work-of-separation is in mixed-mode decohesive process when the debonding angle is between 0° and 90°. The work-of-separation for proportional separation is illustrated in Fig. 7. From Fig. 7(a), it can be seen that the work-of-separation in normal direction is decreasing when the debonding angle is decreasing. The work-of-separation in shear direction is increasing as the decohesive angle α decreasing, as shown in Fig. 7(b). The Fig. 7(c) illustrates the total work-of-separation (Wtot = Wn + Wt) during mixed-mode decohesion.

Fig. 7.

Fig. 7

The proportion separation of the proposed interfacial bonding model (φn = 2.50J/m2, φt = 1.25J/m2): (a) Work-of-separation in normal direction; (b) Work-of-separation in tangential direction; (c) Total work-of-separation

5. Model Verification

5.1. Analytical analysis

The proposed interfacial bonding model was verified through analytical solution when the interface is in linear elastic deformation. The analytical solution of stress-strain relation is derived based on a simple compression test in a standard hexagonal structure, as shown in Fig. 8. The hexagonal plates will slide each other along the interface during compressive loading process. The red springs between bulks in Fig. 8(a) represent the interface traction.

Fig. 8.

Fig. 8

Compression test: (a) Original configuration; (b) Deformed configuration

From the deformed configuration in Fig. 8(b) and Fig. 9, the force equilibrium and compatibility equations can be obtained. In Fig. 9 (b), the black dash line denotes the original hexagonal surface and red solid line represents the current hexagonal surface. The parameters used in the derivation of the analytical solution are defined in Fig. 9(b)–(c).

Fig. 9.

Fig. 9

Analytical model: (a) Force equilibrium; (b) Compatibility relationship (zoom in view from Fig. 8(b) dash elliptical region); (c–d) Details of parameters used in analytical solution.

According to Fig. 9, the stress (σb)-strain (εb) relation can be obtained as (c.f. Appendix A):

σb=En(h0εbt0cosθ4t0223t0(t0cosθh0εb)t03t0tanθ)+Gs4t0223t0(t0cosθh0εb)t03t0tanθ (19)

Where σb is the bulk stress; εb is applied strain; En represents the modulus of interface in normal direction; Gs is the shear modulus of interface; t0 is the original interface thickness; θ is the geometry angle of hexagon; h0 is the original height of the hexagonal structure. Detailed derivation of analytical solution for the stress-strain relation can be found in Appendix A.

5. 2. Finite Element Implementation

Following standard procedures and neglecting the body force, a Galerkin weak formulation can be expressed as following:

ΩP:δFdΩSinterTinter·δΔdS=SextT¯·δudSΩü·δudΩ (20)

where P is the first Piola-Kirchhoff stress tensor; F is the deformation gradient; Δ denotes the interface displacement jump across the interfaces; Ω, Sinter, Sext are the volume, internal interface boundary and external traction boundary of element in the reference configuration; ρ represents the material density in the reference configuration, denotes the external traction vector and Tinter is the interfacial bonding traction vector. The explicit time integration scheme is applied, which is based on the Newmark β method with β = 0 and γ = 0.5 [32].

5.3. Simulation Results vs. Analytical Solutions

Numerical simulations have been carried out for the same specimen as in the analytical analysis. The exact problem statement is shown in Fig. 10, and the length of hexagon edge is 15nm. Thus, the specimen width is Lx = 25.98nm, and length is Ly = 39.232nm. The specimen is under compressive loading along y direction and the bottom is set as roller boundary condition as shown in Fig. 10.

Fig. 10.

Fig. 10

Simulation specimen and problem setup for a simple case

In the simulation, the material properties for the bulk constituents were chosen as: Young’s modulus E = 100GPa, Poisson’s ratio ν = 0.28 [33], mass density ρ = 3190kg/m3 [34] and the interfacial zone properties are σc = τc = 55MPa and φn = 0.052J/m2, φt = 0.032J/m2 [35]. The initial interfacial zone thickness is t0 = δ0 = 2nm. In this case, when the interface is in tension, the parameters are taken as cn1 = cn2 = cs2 = Qt = Qn = 1 and cs1 = 0, and when the interface is in compression, we set Qn = 0.43 and cs1 = cs2 = 0. The deformation and stress distribution of the specimen is shown in Fig. 11 at different loading strain εb.

Fig. 11.

Fig. 11

Snapshot of stress distribution (σ22) at different loading strain: (a) εb = 0%; (b) εb = 0.8%; (c) εb = 1.3%; (d) εb = 1.5%; (e) εb = 1.6%; (f) εb = 1.8%

Based on the interface geometry parameters and material properties used in our numerical simulation, we can easily obtain the stress-strain relation from the analytical solution (Eq. 19). The stress-strain relation of simulation results and analytical solutions was illustrated in Fig. 12.

Fig. 12.

Fig. 12

Comparison between the analytical solutions and the numerical simulation results (σb − εb): (a) the whole region; (b) linear elastic region

Due to the small-angle approximation in analytical solution derivation, we only compared the simulation results and analytical solution within 0.3% strain in this case. As strain increases, the accumulation error will increase as shown in Fig. 12. The major reason for the differences between the numerical results and analytical solution is that the linear elastic small deformation is assumed in the derivation of the analytical solution; however the exponential traction-separation law is used to govern the interfacial interaction in numerical simulation. It can be seen that the stress-strain curve of simulation results was consistent with the curve of analytical solutions in small linear elastic deformation region. Nonetheless, we should say that the model developed in this work is not only for fracture simulation, it can be also used to model cell-cell/substrate interactions. So it is meaningful to compare with analytical solution for linear elastic deformation at the interface. In addition, we have compared our model with experimental data for bone fracture simulation in Section 6, which is inelastic.

6. Numerical simulation of extrafibrillar matrix in bone

Studying the fracture mechanism in bone is attracting the attention of engineering researchers, due to its highly hierarchical structure and the exceptional mechanical and load-bearing properties, e.g. Rho et al. [36], Weiner and Wagner [37] and Weiner et al. [38]. Bone poses various levels of hierarchical structural organization from macroscale to nanoscale [36, 39]. The mechanism of bone failure has been extensively studied, however, the underlying mechanism of plastic deformation in bone is still a debating issue. The possible pathways for plastic flow in bone are most likely due to the sliding between mineral crystals [40], between mineral and collagen phases [40], or between the mineralized collagen fibrils [4143].

At ultrascale level, the extrafibrillar matrix in bone consists of hydroxyapatite (HA) polycrystals bounded through an organic interface (grain boundary), as shown in Fig. 13. This organic interface consists of a group of non-collagenous proteins, such as osteocalcin, osteopontin and proteoglycans [44]. To explore the bulk mechanical properties of bone materials, it is important to understand the mechanical response of its microstructure.

Fig. 13.

Fig. 13

Schematic representation of ultrastructure of extrafibrillar matrix: (a) extrafibrillar matrix; (b) HA crystals in extrafibrillar matrix; (c) Organic interface between HA crystals.

For simplicity while ensuring reasonable accuracy, a 2D plane strain model of granular HA crystals bounded through a thin interface was proposed to mimic the microstructure of extrafibrillar matrix in bone. The geometry of the specimen was generated by Voronoi tessellation method, e.g. Du et al. [45] and Lin et al. [46]. The exact problem statement is shown in Fig. 14, in which a 2D plate with dimension (Lx × Ly = 322nm × 322nm) is under compressive loading in y axis. In this simulation, there are 144 grain cells and the average grain size is around 25nm [4749]. The thickness of organic interface was set to be t0 = δ0 = 2nm throughout the model, which was estimated based on the volume ratio of organic interface (~ 10% by volume) and the average grain size (~25nm) in the extrafibrillar matrix [50, 51].

Fig. 14.

Fig. 14

Simulation problem set up of extrafibirllar matrix structure

The organic-inorganic interface in extrafibrillar matrix may contain different chemical bonds and the environments are truly complicated. A direct experimental measurement of interface properties and behaviors for extrafibrillar matrix is very challenging. In the current work, the thickness of organic interface is assumed to be around 2nm and comprised of a monolayer of molecules. Under this assumption, the interface would behave like an interfacial molecular bond between the hydroxyapatite grains, thus making the proposed cohesive zone law suitable for this case. The interfacial interaction was assumed as intermediate type of interfacial bonds (hydrogen bonds). The material properties for the bulk constituents were chosen as: Young’s modulus E = 100GPa, Poisson’s ratio ν = 0.28 [33], mass density ρ = 3190kg/m3 [34] and the proposed interfacial zone properties were set as σc = τc = 55MPa and φn = 0.052J/m2, φt = 0.032J/m2 [35]. In this case, when the interface was under tension, the parameters were taken as cn1 = cn2 = cs2 = Qt = Qn = 1 and cs1 = 0, and when the interface was under compression, we set Qn = 0.43 and cs1 = cs2 = 0.

In this work, all simulations were implemented using a custom-developed finite element package [23, 5255]. We first performed the mesh refinement studies and found out that the maximum stress in the specimen was decreasing as mesh number increasing (mesh size decreasing) and the stress would reach a convergent value when the mesh size is below 7.5nm as shown in Fig. 15.

Fig. 15.

Fig. 15

Mesh convergence test

After the mesh convergence test, we have run six simulation cases with random polycrystalline grain distribution. The deformation process from one of the simulation cases was shown in Fig. 16. The stress distribution along loading direction was captured from the simulation. From this study, we measured the averaged crack path and it was along an inclined angle (≈ 30°), which was very similar to the angle of cross-hatch cracks observed in bone compression test [56]. Furthermore, as shown in Fig. 17, the elastic modulus estimated from the simulation was around 15GPa, which was in the range of nanoindentation modulus of bone reported in the literature [57, 58]. In addition, the estimated maximum value of the average mineral strain (~0.24 ± 0.03%) was consistent with the experimental studies (0.27 ± 0.03%) [59, 60]. In Fig. 17, the error bars are the standard deviation. The simulation results indicated that this improved interfacial bonding model could capture the sliding process along the interface between the HA crystals and the overall failure behavior of the extrafibrillar matrix in bone (see Fig. 16).

Fig. 16.

Fig. 16

Snapshot of stress distribution (σ22): (a) εb = 0.30%; (b) εb = 1.28%; (c) εb = 1.52%; (d) εb = 1.58%; (e) εb = 1.64%; (f) εb = 1.95%

Fig. 17.

Fig. 17

(a) Average mineral strain vs. applied strain (εb); (b) Bulk stress (σb) vs. applied strain (εb)

7. Conclusions

In this work, we have reported an improved interfacial bonding model. The proposed model was examined in mixed-mode loading and the physically realistic coupling behavior was obtained. The work-of-separation analysis implies that the proposed interfacial bonding model can capture the work-of-separation in mixed mode, which is a realistic process for work transformation from normal to shear or from shear to normal. The proposed improved interfacial bonding model has the following properties:

  1. By introducing the equilibrium distance δ0, our model characterizes both attractive and repulsive interfacial interactions and can be applied to model material interfaces under both tension and compression, while the traditional cohesive zone model may need an additional treatment in the interface to avoid surface penetration when the interface surfaces are in compression.

  2. By assigning proper values to the control variables (c1, c2 and Q) in the normal and tangential traction-separation laws, the proposed interfacial zone model satisfied all fracture boundary conditions for mixed-mode fracture as indicated in Section 3.

  3. The proposed interfacial zone model does not require equal fracture energy in the normal and shear direction. The assumption that the normal fracture energy (φn) equals the shear fracture energy (φt) is often not consistent with experiment measurements.

  4. When interface is under compression (Δn < δ0), the maximum shear traction (Tt*) could either increase or keep constant as Δn decreasing, which appears to be realistic [61].

  5. The proposed interfacial zone model can be reduced to an improved exponential cohesive zone model [20] by assigning proper values to the control variables and thus the proposed model preserves all essential features of an improved exponential cohesive zone model.

The proposed interfacial bonding model was verified by analytical solution when the interface is in linear elastic deformation. The stress-strain (σb − εb) curve obtained from numerical simulation and analytical solution agreed well in linear elastic region as illustrated in Fig. 12. By employing the generalized interfacial bonding model to the organic interface modeling of extrafibrillar matrix in bone, the simulation results successfully captured the HA crystal sliding along the organic interface to form a damage zone in extrafibrillar matrix (c.f. Fig. 16). In addition, the inclined crack angle, elastic modulus and average maximum mineral strain obtained from simulation (c.f. Fig. 17) were consistent with experimental observations. Hence, through the interfacial modeling, the current research provides a numerical simulation tool to study the interface interactions in biological materials. Nonetheless, there are several limitations associated with the current study of extrafibrillar matrix behavior in bone. Firstly, crystal shape/size are estimated from the experimental observations [41, 49], so the Voronoi generated grains are appropriate representations of the extrafibrillar mineral crystals. However, the crystal size, orientation and aspect ratio effects were not studied in the current study and need further investigation since these factors may also play roles in dictating the extrafibrillar matrix mechanical properties. Secondly, the organic interface properties are simply estimated based on the experimental observations and related information reported in the literatures, which do not consider complex chemical bonding and environment of organic-inorganic interface and may be used only for qualitative analysis.

Acknowledgments

This work is partially supported by a grant from National Institutes of Health (Grant No. R21AR066925), a grant from National Science Foundation (Grant No. CMMI-1538448), and a grant from the University of Texas at San Antonio, Office of the Vice President for Research. We are grateful to Dr. Hai-Chao Han for valuable discussions in the derivation of the analytical solution.

Nomenclature

φn

interfacial normal fracture energy

φt

interfacial shear fracture energy

T

traction vector

δ0

equilibrium position

σc

interfacial normal strength

τc

interfacial shear strength

δn

normal characteristic debonding distance

δt

tangential characteristic sliding distance

Δn

normal separation

Δt

shear separation

P

first Piola-Kirchhoff stress

F

tensor deformation gradient

Sub and superscripts

n

normal direction

t

shear direction

inter

interfacial zone

Appendix A. Analytical solution derivation of stress-strain relation

In the analytical model shown in Fig. 9 (a), the forces in y direction are in equilibrium:

Fy=0 (A.1)

From the force balance in y axis, we have:

Fb=2(Fncosθ+Ftsinθ) (A.2)

where Fb is applied force; Fn and Ft are normal and shear force of interface, respectively; θ is the geometry angle of hexagon.

Substitute Fb = σbA, Fn = σnAs, Ft = τsAs, A = 2Ascosθ into Eq.(A.2), we have:

σb=σn+τssinθcosθ (A.3)

where σb is the bulk stress; σn represents interfacial normal compressive stress; τs denotes interfacial shear stress.

From Fig. 9(c)–(d), the sliding distance is determined to be:

δs=δs1+δs2=δlcosθ+d1sinθ (A.4)

where d1 is the compressed displacement along vertical direction and δl is opening displacement along horizontal direction.

Thus, from Eq.(A.4), the shear strain is provided as:

γs=δst0=(δlcosθ+d1sinθ)t0 (A.5)

where t0 is the original thickness of interface.

Additionally, from the deformation geometry in Fig. 9(c), the following compatibility relations can be obtained:

d1+d2=t0cosθ (A.6)
d2=(t02+δl) tanα (A.7)

Based on the standard hexagon structure, from Fig. 9(c), the shear strain also can be described as:

γs=π2θα    where  θ=π6 (A.8)

Substituting Eqs.(A.6)(A.8) into Eq.(A.5) yields:

γs=[(d2tan(π3γs)t02)cosθ+d1sinθ]t0 (A.9)

According to the trigonometric sum and difference formulas:

tan (π3γs)=sin(π3γs)cos(π3γs)=sin(π3)cosγscos(π3)sinγscos(π3)cosγs+sin(π3)sinγs (A.10)

Under the small deformation assumption:

sinγs~γs,cosγs~1γs22

Eq.(A.10) yields the following relation:

tan (π3γs)332γs2γs1+3γsγs22 (A.11)

Substituting Eq.(A.10) into Eq.(A.9), the shear strain is obtained as:

γs=4t0223t0d2t03t0 (A.12)

From Fig. 9(c)–(d) and Eq.(A.5), the deformed interfacial thickness is determined as:

t=δstanθ+d2cosθ=γst0tanθ+d2cosθ (A.13)

The compressed distance in normal direction of interfacial surface is defined as:

δnn=t0t=t0γst0tanθd2cosθ (A.14)

According to Hooke’s law, the compressive normal stress and shear stress are obtained as:

σn=Enεn=Enδnnt0 (A.15)
τs=Gsγs=Gsδst0 (A.16)

where En represents the normal modulus of interface and Gs is the shear modulus of interface.

Substitute Eq.(A.14), (A.15) and (A.16) into Eq.(A.1) yields:

σb=Ent0(t0γst0tanθd2cosθ)+Gsγstanθ (A.17)

From Fig. 9(c), the bulk strain can be written as:

εb=d1h0  where h0 is the original height of specimen (A.18)

Thus, from Eq.(A.6), (A.12), (A.17) and (A.18), the stress-strain relation can be easily obtained:

σb=En(h0εbt0cosθ4t0223t0(t0cosθh0εb)t03t0tanθ)+Gs4t0223t0(t0cosθh0εb)t03t0tanθ (A.19)

Footnotes

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