- Research Article
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# Extended modelling of dislocation transport-formulation and finite element implementation

*Advanced Modeling and Simulation in Engineering Sciences*
**volume 2**, Article number: 29 (2015)

## Abstract

In the past decade, several higher-order crystal plasticity models have been developed to properly capture size effects, dislocation pile-up and patterning. Here we consider a formulation which accounts for the presence and behavior of both positive and negative dislocations in terms of densities. We derive an implicit finite element implementation for the continuum crystal plasticity model including dislocation transport, using a generalised continuum expression for the short-range dislocation interactions, by discretizing the two governing non-linear transport equations in time and space. The resulting non-linear algebraic equations are solved by an incremental-iterative solution scheme. We compare the resulting numerical solutions with discrete dislocation simulations. This analysis shows the capabilities of the implicit FEM framework to solve continuum dislocation transport in crystal plasticity with the added energetic dislocation interactions.

## Background

Crystal plasticity models are nowadays employed in a wide range of engineering applications, and the finite element method is commonly adopted in numerical models employing them [1]. In particular, they allow one to study the effect of microstructural morphology of poly-crystalline materials. Relevant mechanisms such as anisotropy and plastic deformation along discrete slip planes, as found in crystalline materials, are captured in a natural fashion. However, other mechanisms such as size effects cannot be described by classical crystal plasticity [2, 3]. Therefore, much attention has recently been given to the incorporation of strain gradient effects in crystal plasticity models.

Physically, the plastic slip on glide planes is the result of the collective motion of dislocations [4]. On a continuum scale many higher-order phenomenological models exist which capture, rather than describe, the behaviour of a large collection of dislocations. The work of Nye [5] provided a basis for such continuum models by introducing a dislocation density tensor, representing the accumulation of dislocations when non-homogeneous deformation results in lattice incompatibility. The notion of Geometrically Necessary Dislocations (GNDs) was used to relate spatial gradients of strain to the presence of dislocations [6]. GNDs, emanating from strain gradients, can be used in a phenomenological way to e.g. elevate the strengthening of a slip system [7] or to increase the free energy of a system [8, 9], leading to additional balance equations for the plastic slip. Based on these theories, numerical models were developed including the effect of dislocations on the plastic behaviour of the material, either as strain gradients [10–12] or as additional degrees-of-freedom [13].

Here, we consider another class of higher-order crystal plasticity models, in which the presence and transport of dislocations is included more directly via dislocation densities. A crucial element in such models is the way they account for short-range dislocation interactions [14]. Such models may for instance be formulated using statistical mechanics arguments [15]. Here, however, we demonstrate that if the short-range interaction term is derived from an idealised dislocation configuration, it takes a slightly more general form, which apart from the usual gradient of GND density also contains a gradient of the total dislocation density. By upscaling the dislocation interactions in this idealized configuration we include all dislocation interactions in the continuum expression for the short-range stresses. This expression is used in the governing equations for the transport of dislocation densities, as adopted from models taking into account the evolution of dislocation densities [15–17].

The resulting initial boundary value problem contains two non-linear, coupled PDEs. In order to solve these equations numerically, they are discretised in space using the finite element method. In [16] the semi-discrete transport equations are solved using an explicit temporal discretisation. This however introduces the constraint of small time-steps in order to have stable numerical solutions.

A second objective of the present paper is therefore to formulate a fully implicit solution strategy, based on a backward Euler time integration. The obtained non-linear algebraic equations are then linearised and solved using a Newton-Raphson procedure. The evolution of the dislocation transport is thus simulated by an incremental-iterative scheme. Results obtained with this implementation are compared to discrete dislocation calculations in order to study its validity.

## Governing equations for the transport of dislocation densities

### Governing equations

In a crystal plasticity framework the plastic deformation is the result of plastic slip on distinct glide planes, and depends on the amount and orientation of such (active) slip systems. Using a small deformation assumption, for a single glide plane the total shear deformation \(\gamma \) can be expressed as:

Here, \(\gamma _{\mathrm {e}}\) and \(\gamma _{\mathrm {p}}\) represent the elastic and plastic deformation respectively. The stress due to this deformation is a result of the elastic deformation only. Adopting Hooke’s law the following relation for the elastic deformation is obtained:

where \(\tau \) is the shear stress acting on a glide plane and *G* the shear modulus. The framework is complete when an expression for the plastic slip \({\gamma _{\mathrm {p}}}\) is formulated. The choice for \({\gamma _p}\) here is derived from the Orowan relation [4], which states that the plastic slip rate \({\dot{\gamma }_{\mathrm {p}}}\) is determined by the flux of dislocations:

Here, *b* is the length of the Burgers vector and \(\Phi \) is the dislocation flux. An appropriate expression is required for the dislocation transport on a glide plane accompanying the dislocation flux.

### Dislocation balance equations

In a continuum framework one refrains from keeping track of all individual dislocations and their positions. Instead, we describe the dislocations in terms of densities. We first choose to describe a collection of positive and negative infinite straight edge dislocations by positive densities \(\rho ^+(x,t) , \rho ^-(x,t)\), where *x* is the coordinate along the slip system and *t* indicates time. Uniformity is assumed in all directions perpendicular to the *x*-axis, so that a one-dimensional problem remains. The resulting equations are subsequently reformulated in terms of the total and GND densities \(\rho (x,t)\) and \(\kappa (x,t)\).

We consider the transport of a fixed number of positive and negative dislocations in a single slip system without creation and annihilation. The transport equations for the densities of positive and negative dislocations then read:

where \(\Phi ^+\) and \(\Phi ^-\) are the fluxes of positive and negative dislocations, respectively, which still depend on \(\rho ^+\) and \(\rho ^-\). To solve these transient PDEs we need initial and boundary conditions. The initial conditions are given by an initial density profile for both positive and negative densities, i.e. \(\rho ^+(x,t=0)\), \(\rho ^-(x,t=0)\). For an impenetrable barrier there can be no dislocation transport; therefore at such a boundary there is no flux: \(\Phi ^+ = \Phi ^- = 0\). In the case of a free surface the dislocation densities vanish at this boundary.

The fluxes in (4) and (5) can be expressed as:

where the \(+\) sign holds for positive dislocations and the − sign for negative. For the velocity \(v^{\pm }\) a linear drag law is adopted, such that the velocity depends linearly on the forces acting on the dislocations. Here, *b* is the length of the relevant Burgers vector, the sign depending on the sign of the dislocation, *B* is the drag coefficient, \(\tau \) the shear stress acting on the glide plane and \(\sigma _{\mathrm {int}}\) is the short-range dislocation interaction stress.

The shear stress \(\tau \) includes the stress due to the net incompatibility introduced by a large number of dislocations, as well as any externally applied loading. These stresses are naturally recovered in a crystal plasticity framework by the incompatibility of plastic deformation [5, 18, 19]. As the focus here lies on the transport of dislocations, we take \(\tau \) to be a constant, both in time and space. This is a valid assumption due to mechanical equilibrium in the material and for a stress-controlled deformation. The short-range interaction stress is the continuum equivalent of the interaction stresses between individual dislocations. To close the PDEs (4) and (5), we still need to establish the dependence of \(\sigma _{\mathrm {short}}\) on the dislocation densities \(\rho ^+\) and \(\rho ^-\).

### Upscaling of the short-range interaction stress

The short-range dislocation interactions can be described by local gradients in the GND density, as formulated in [15, 16] using dislocation pair correlations. However, here we generalise the model by allowing for all dislocation gradients to contribute to the interaction stress. To formulate our continuum expression for the short-range internal stress we take into account the interactions between all dislocations as follows.

The starting point of the derivation is an idealized dislocation configuration of a single slip system in an infinite medium, containing infinite positive and negative dislocation walls with a constant vertical spacing *h*. The periodic dislocation wall (tilt wall) configuration studied here does not generate any long range stress, and is therefore suitable to characterise the short-range nature of the interaction stresses [14]. In this analysis we do not take into account dislocation sources and we avoid annihilation by assuming that no two dislocations of opposite sign exist on the same glide plane. However, the horizontal distribution of positive and negative walls can be arbitrary. Furthermore, we consider all walls to be mobile.

We consider the total interaction stress on both a positive and a negative wall. If there are many walls within a horizontal distance of \(\pm h\) from a particular wall, i.e. the horizontal distance between walls is much smaller than the vertical spacing *h* within the wall, we can assume a continuous distribution of dislocation walls. Then, we can rewrite the discrete sum of individual interaction stresses in a continuum equivalent for the total interaction stresses on a positive and negative wall as follows:

In this expression, \(\sigma ^{\pm +}\) and \(\sigma ^{\pm -}\) are the interaction stresses acting on a positive or negative dislocation wall due to another, positive or negative wall respectively, at a distance \(\xi \) to the left. The integral runs from \(-\infty \) to \(\infty \), taking into account all interactions and assuming a continuous distribution of dislocations with infinitesimally small distances. The linear densities \(h \rho ^{\pm }\) are a measure for the local number of walls.

The shear stress of an infinite periodic wall of positive edge dislocations is given by [20]:

with *G* and \(\nu \) the shear modulus and Poisson’s ratio respectively, and \(\tilde{x}= x/h\) and \(\tilde{y}=y/h\) the normalised distances to an arbitrary dislocation within the wall. In the special case where all positive walls have the same vertical position \(y = 0\), all negative walls are shifted with respect to them by a distance *h* / 2 and positive and negative walls occur alternatingly with equal horizontal spacing, as shown in Fig. 1a, the obtained configuration is a Taylor lattice. In an infinite medium this configuration is stable. In this case, the positive and negative dislocations are not pairs from the same dislocation loop, but should be thought of as coming from different sources on different slip planes. Therefore, in this region dislocations do not annihilate. In the more general case considered here, visualized in Fig. 1b, where the horizontal distribution of the walls is governed by two independent densities \(\rho ^+\) and \(\rho ^-\), walls of different signs do not necessarily alternate and the configuration obtained is no longer necessarily a Taylor lattice. However, the vertical separation between positive and negative dislocations is preserved. It avoids annihilation between positive and negative dislocations and the underlying assumption is that two dislocations of opposite sign on the same glide plane would annihilate so quickly, that they contribute little to plastic slip. Furthermore, dislocations on the same glide plane are likely to have been emitted by the same source. In other words: if a positive dislocation is found on a certain glide plane, adjacent dislocations on the same glide plane are more likely to be also positive than negative. It is worth pointing out that the correlation between dislocations—which admittedly may be partially exaggerated—also implies that the dislocation configuration surrounding an arbitrary positive dislocation is different from that of a negative dislocation and different interaction forces may thus be experienced by them.

Using this configuration, we can derive from Eq. (8):

where \( \bar{G} = G/(2 (1-\nu )) \).

Furthermore, the dislocation density at position \((x-\xi )\) is estimated by a first order Taylor approximation around point *x* for both \(\rho ^+\) and \(\rho ^-\):

If we substitute the expressions (9), (10) and (11) in Eq. (7) and compute the resulting integrals, we obtain expressions for the total interaction stresses acting on a positive and a negative dislocation which may be written as:

Finally, if we substitute (12) in (6) we obtain the following expression for the dislocation fluxes:

Using (13) in (4) and (5) respectively, these PDEs are fully expressed in terms of \(\rho ^+(x,t)\) and \(\rho ^-(x,t)\) and we can thus calculate the evolution of the positive and negative dislocation densities.

It is worth noting that the governing equations are objective with respect to a change of sign of dislocations—as is to be expected. This can easily be verified by substituting (13) in (4) and (5), subsequently exchanging \(\rho ^+\) and \(\rho ^-\) while replacing *b* by \(-b\), and observing that the same governing equations are recovered.

### Formulation in terms of total dislocation and GND densities

In order to more easily relate the dislocation densities to relevant and meaningful (macroscopic) properties, e.g. incompatibility and hardening, we rewrite the dislocation densities in terms of the total dislocation density \(\rho \), and the Geometrically Necessary Dislocation density \(\kappa \). The GNDs are dislocations which are required to conform to the overall deformation, i.e. they characterize the incompatibility introduced by plastic slip [5]. The remaining dislocations are called Statistically Stored Dislocations (SSDs); they do not have a net geometrical contribution. The total density then reads:

Because of this relation, we only need two quantities to describe the evolution of all dislocations. A convenient choice is the combination of \(\rho \) and \(\kappa \), because they have a clearer physical meaning and they can be easily related to the densities of positive and negative dislocations:

Using the above relations we can determine the transport equations for \(\rho \) and \(\kappa \) by adding (5) to (4) and subtracting (5) from (4) respectively:

where \(\Phi _{\kappa } = \Phi ^+ + \Phi ^-\) and \(\Phi _{\rho } = \Phi ^+ - \Phi ^- \). The latter characterises the total flow of Burgers vector, irrespective of the sign of the dislocations which carry it, and thus the plastic slip rate. The former gives the net flow of Burgers vector. Using (15) and (16) and the fluxes for positive and negative dislocations (13), the fluxes \(\Phi _{\rho }\) and \(\Phi _{\rho }\) can be expressed in terms of \(\rho \) and \(\kappa \) as:

Eqs. (17)–(20) are a closed set of equations in terms of \(\rho \) and \(\kappa \).

Based on this model we can derive other models found in the literature, by using a different assumption for the upscaling of the interaction stress. If we only take into account the interactions between walls of the same sign, i.e. \(\sigma ^{++}\) and \(\sigma ^{--}\), the second term in the resulting interaction stresses in (12) vanishes. This leads to an expression for the short-range interaction stress in (19) and (20) only in terms of gradients of GNDs, as in References [8, 13]. The length scale introduced in these references then equals the slip plane spacing *h*. Furthermore, if we limit ourselves to only interactions between nearest neighbouring dislocations instead of taking into account all interactions in *x*-direction, and to dislocations on a single slip plane instead of walls, we obtain the interactions of References [15, 16]. In this formulation the length-scale is no longer a constant, but depends on the local dislocation density.

## Implementation

In the numerical implementation of our model we need to solve the transport equations (17) and (18) for the total dislocation and GND densities. Although these equations are of a convection-diffusion nature, no stabilization is applied here. Most stabilization techniques use the addition of artificial diffusion. Here, the expression for the short-range dislocation interactions is of a diffusive nature. If one is to study these interactions in detail, addition of stabilizing diffusion can be of influence on the results. Therefore, no stabilization is introduced and care was taken choosing a sufficiently small element size and time step to ensure stability.

### Time discretisation

First, the transient terms in the transport equations are discretised using a finite difference approach. For the temporal discretisation the implicit, backward Euler method is used:

The symbols with superscript (*t*) represent the values at the previous time step. For brevity we dropped the superscript \((t + \Delta t)\) for the values at the end of the current time step. This implicit time integration is used for additional stability and accuracy.

### Spatial discretisation

For the spatial discretisation, the Galerkin method is adopted. By multiplying Eqs. (21) and (22) by test functions \(\psi _{\rho }\) and \(\psi _{\kappa }\), and integrating the resulting expression over the domain (0, *L*) the weighted residuals formulation is obtained. Subsequently, integration by parts is applied, resulting in the weak forms:

The degrees-of-freedom \(\rho ,\kappa \) and the test functions \(\psi _{\rho },\psi _{\kappa }\) are discretised using the same shape functions \({\mathop N \limits _{\sim }}(x)\):

Substituting these discretised variables in the weak forms (23) and (24) and requiring that they hold for all \({\mathop \psi \limits _{\sim }}_{\rho }\) and \({\mathop \psi \limits _{\sim }}_{\kappa }\) we obtain:

Note that the dislocation densities \(\rho ,\kappa \) and the fluxes \(\Phi _{\rho ,\kappa }\) can be expressed in terms of the discretised values \(\mathop \rho \limits _{\sim },\mathop \kappa \limits _{\sim }\) by using (25), (19) and (20).

### Linearisation

The expressions (19) and (20) for the fluxes are non-linear; therefore an iterative solution strategy is used to solve equations (25) and (26). Here we use the Newton-Raphson method and we thus need to linearize the equations. This implies that we substitute for \(\rho \) and \(\kappa \):

where (*i*) and \(\delta \) denote the estimate obtained from the previous iteration and a variation (or iterative correction), respectively. The iterative updates for the fluxes \(\delta \Phi _{\rho }\) and \(\delta \Phi _{\kappa }\) are obtained by linearising (19) and (20) with respect to the degrees-of-freedom \(\rho ,\kappa \), giving:

After discretisation and linearisation we obtain the following linear system of equations for the iterative corrections:

with:

When an appropriate numerical integration scheme, e.g. Gaussian integration, to approximate the above integrals is chosen, the residuals \(\mathop R \limits _{\sim }\) and the tangents \(\underline{K}\) can be constructed element-wise and assembled in order to solve Eq. (27). In this work, linear shape functions are chosen, and a two-point Gauss integration scheme.

## Simulations and results

In this section we compare results obtained with the continuum dislocation transport equations with fully discrete simulations. The problem investigated is shown in Fig. 2, including the domain boundaries. We consider a domain of length *L* within an infinite elastic medium with parallel slip planes on which dislocations are organised in vertical walls with a constant vertical spacing of *h*. The positive and negative dislocation walls are arranged such that the negative walls are shifted with *h* / 2 with respect to the positive walls. Both the positive and negative dislocation walls can be arbitrarily distributed in the horizontal direction, as determined by their respective densities.

An external shear stress \(\tau \) is applied to the system. This shear stress is considered to be constant along the slip system for both the continuum and the discrete framework, because of equilibrium and because the long-range stresses for infinite dislocation walls vanish. We can therefore focus on the transport of dislocations in single slip.

After rescaling the material parameters in the governing equations, the relevant parameters are the ratios *b* / *h*, *L* / *h* and \(\tau /\bar{G}\). In the simulations a fixed ratio of \(b/h= 1/200\) is used. The ratios *L* / *h* and \(\tau /\bar{G}\) vary between the simulations. The number of finite elements used is 200. For the choice of the time step size, first a characteristic time can be estimated using the dislocation velocity. This velocity is determined by the linear drag law, only using the applied stress. Using this relation an upper bound for the time step can be estimated, i.e. \(\Delta t \approx h v^{-1} \approx B/(b \tau )\). An appropriate time step size should be much lower than this value to obtain accurate results.

In the discrete simulations the position of each individual wall is updated using the same linear drag law adopted in the continuum framework. The driving force in the expression for the dislocation velocity is a function of the applied shear stress on the glide plane and the interaction stress acting on the wall as a result of all other dislocations. The total interaction stress is the sum of the individual stress fields expressed in (8), with the appropriate Burgers vector sign and distance to the considered wall substituted for each dislocation wall.

Unless otherwise indicated, the boundaries of our domain are impenetrable barriers to dislocation motion. It is natural to require that the dislocation velocity is zero at these boundaries. For the continuum model this means that the boundary terms vanish, i.e. \( \Phi _{\rho }(x=0) = \Phi _{\rho }(x=L) = \Phi _{\kappa }(x=0) = \Phi _{\kappa }(x=L) = 0\). In the discrete dislocation simulations, immobile dislocations of the relevant sign are placed on all slip planes at such boundaries. The singular stress field emitted by them prevents the mobile dislocations within the domain from reaching the boundary.

### Double pile-up of positive and negative dislocations

First, the initial dislocation configuration is chosen such that a Taylor lattice configuration is obtained as in Fig. 1a, in which positive and negative walls are evenly distributed and alternating. This corresponds in the continuum model with \(\rho = \rho _{\mathrm {SSD}},\kappa = 0\) as the initial condition. We first apply a constant shear stress on the domain, resulting in a double pile-up against the impenetrable barriers at the two ends of the domain. The stress is chosen such that it is high enough for a negative wall to pass a positive wall. A ratio of \(\tau /\bar{G} = 1/20\) is adopted. The length of the domain is \(L = 20h\). There are 128 dislocation walls present in the domain, and the uniform initial dislocation density profile is chosen accordingly.

The evolution of the double pile-up is shown in Fig. 3. The density of SSDs, \(\rho _{\mathrm {SSD}}\), decreases as the positive and negative walls are moving in opposite directions due to the applied shear stress. At the same time the density of GNDs increases at the boundaries, such that a linear profile is obtained, as explored in more detail below.

In order to study mesh convergence, the number of elements used in this simulation is varied. As shown in Fig. 4, when the number of elements is increased the solution converges to a certain density profile and the oscillations which are visible in the solutions for coarser discretisations disappear. Note that the number of elements giving a stable solution would be lower if a stabilization had been applied. However, as can be seen in Fig. 4, stabilization is not required to yield meaningful results. Even with an element size in the order of the vertical dislocation spacing *h* the density profile converges. The dislocation-dislocation interactions ensure a natural stabilisation, especially in the range of domain sizes considered here.

Next, the applied shear stress is removed, after which the accumulated interaction stresses are driving the dislocation walls back towards a uniform distribution. In Fig. 5, we can see the evolution of the dislocation density towards this equilibrium configuration.

Figure 6 compares the final, equilibrium solutions of the pile-up and release cases with a discrete simulation, showing an adequate agreement. The continuum model captures the linear part of the double pile-up well and after release of the stress the equilibrium distribution is recovered quite accurately.

The above simulations involved a large number of walls. With fewer dislocation walls, see in Fig. 7 for the case of 32 walls, the agreement between the discrete and continuum model is poorer when the stress is removed after the formation of a pile-up. For a smaller number of dislocations, the interaction stress is not high enough for the walls of opposing sign to pass each other and a different, non-uniform equilibrium solution results. Although the walls are redistributed, the positive and negative walls remain separated. This effect is not captured by the continuum model, where the densities return to their initial distribution. The use of first-order derivatives in the continuum expression for the interaction stress dictates that without an applied stress the dislocation velocity vanishes only when the gradients of the densities are zero. This triggers the uniformly distributed SSD density. A limitation of the continuum model therefore is that a sufficient number of dislocations must be present in order to accurately capture the behaviour of the dislocation walls. If not, the continuum assumption does not apply.

### Pile-up of positive walls

Now, we compare the new model with previous work and analyze its behaviour at the boundaries, in addition to the effect of the number of dislocation walls present. We study the case presented in [14] and [21] in which positive walls pile-up against a hard barrier, here located at \(x=0\). This implies as boundary condition \( \Phi _{\rho }(x=0) = \Phi _{\kappa }(x=0) = 0\). Furthermore, we consider only positive dislocation walls in the domain. This corresponds with \(\rho = \kappa ,\rho _{\mathrm {SSD}} = 0\) in the continuum model.

The length of the domain is \(L = 10h\). First, a uniform distribution of positive walls is considered with an applied shear stress according to \(\tau /\bar{G} = - 1/20\). This results in a pile-up of dislocation walls for which the evolution is shown in Fig. 8. The applied stress pushes the dislocation walls towards the barrier, while at the same time the dislocation walls repel each other. This results in a pile-up against the barrier. The interaction stress emanates from the gradient of the density. In the final equilibrium state, this interaction stress must compensate the externally applied stress \(-\tau \) which is constant. Therefore, a linear pile-up is predicted [21].

In Fig. 9, the equilibrium solution is shown for the present model and fully discrete simulations with different numbers of dislocations and thus initial densities. The results observed in Fig. 9 are consistent with the results found in [21]. The comparison between the continuum and discrete simulations is quite good for a large number of dislocations and at some distance from the barrier. However, if we decrease the number of walls below a certain limit, the continuum model no longer captures the discrete wall distribution, as the dislocations do not distribute linearly near the boundary. For all cases, the agreement in the region close to the boundary is poorer, because a boundary layer appears where the discrete nature of the dislocation walls is dominant. The assumptions made in deriving the continuum model do not hold in this region. In the expression for the velocity only the gradient of the density is related to the applied stress; therefore it is unable to capture the \(\frac{1}{\sqrt{x}}\) behaviour near the obstacle. However, the linear part of the pile-up, as explained in [21], is captured accurately, i.e. the gradient of the density corresponds well between the discrete and continuum case. The absolute difference in density is a result of dislocation conservation in the domain. The area below the continuous and discrete data must be constant and equal. Because the continuum model is unable to capture the sharp peak near the boundary, the density in the region away from the boundary is higher.

### Non-uniform distribution of positive and negative walls

To illustrate the effect of taking into account all short-range interaction stresses, and not only those between dislocations of the same sign, we consider equal numbers of positive and negative walls, corresponding in the continuum case with a distribution of SSDs, i.e. \(\rho = \rho _{\mathrm {SSD}},\kappa =0\). Initially, these walls are not horizontally equispaced, but their mutual distances are such that they result in a non-uniform density distribution as illustrated by the dashed curve in Fig. 10. In the center of our domain more walls are present, their number decreasing closer to the boundaries. The integral of the initial density profile corresponds with 89 dislocation walls. The boundaries are impenetrable barriers. No external stress is applied, such that the interactions between walls, due to the gradients in densities, constitute the only driving forces for dislocation motion. The length of the domain is \(L = 60h\).

In Fig. 10, the evolution of the SSD density is shown. The driving force of the dislocation density, i.e. the gradient in the density profile, results in mutually repelling walls and the spreading of the density distribution. The density profile is evolving to its equilibrium configuration, i.e. a uniformly distributed dislocation density.

We next compare the present model to a discrete dislocation simulation as well as a continuum model including only GND interactions using the same number of walls, see Fig. 11.

In the present model (marked “all interactions”) the dislocation walls tend to repel each other, thereby rearranging into a uniform distribution as is also observed in the discrete simulation. The offset between the discrete and the present continuum simulations is caused by the boundary condition in the discrete simulations. In the discrete simulation the impenetrable barrier is modelled by the addition of immobile dislocations. Two additional dislocation walls, one of each sign, are pinned at each boundary of the domain to ensure that no dislocations leave the domain. This results in an additional contribution to the interaction stress at the boundary and a slightly higher discrete density in the bulk.

The initial wall distribution (in which no GNDs are present) does not evolve for the model with only GND interactions. This model only includes the gradient of the GND density as a driving force for dislocation motion, which is obviously absent in the initial state. In the new, “all interactions” model the interactions between positive and negative walls is properly included via the gradient of the total dislocation density.

### Outflow of dislocations

In the final example we replace the barrier at \(x=0\) by a free outflow condition, regardless of the sign of the dislocations. A free boundary in the continuum framework is modelled by a Dirichlet condition on the densities, i.e. \( \rho (0) = \kappa (0) = 0\). Furthermore, no stress is applied and the length of the domain is set to \(L = 10h\). Our purpose is merely to illustrate the effect of accounting for all short-range dislocation interactions (as opposed to only GNDs) on the ability to model outflow. No comparison is therefore made with discrete simulations and only a qualitative analysis of the continuum models is performed.

Figure 12 shows a decrease in dislocation density near the boundary for the newly proposed model. The model with GND interactions only is unable to capture the outflow of dislocations, because there are no (gradients of) GNDs to generate the driving force in that formulation. In a qualitative sense the model presented here is thus capable of capturing dislocation outflow.

## Conclusion and discussion

Starting from an idealised dislocation configuration, a continuum model for dislocation transport in single slip has been derived, including (short-range) dislocation-dislocation interactions. The driving force in the transport equations emanates from the behaviour of discrete dislocation walls. Whereas the long-range stresses in the driving force can be captured naturally in a continuum model, the short-range stresses are to be determined from the individual interactions between dislocations. These short-range stresses in the presented continuum model depend on the gradient of GND and total dislocation density, as opposed to other models found in literature in which they depend only on the gradient of GND density.

The resulting equations are non-linear transient PDEs. They are numerically solved by temporal and spatial discretisation and by adopting an incremental-iterative solution procedure. We develop a fully implicit scheme here, in contrast with the explicit time integration generally used in the literature. This framework was shown to convergence to a solution with a relatively low number of elements. In this study, no stabilisation is used for the transport equations, because this could interfere with the presence of the short-range dislocation interactions. When more realistic cases are considered, with larger problem length-scales, numerical stabilization may be necessary to avoid nonphysical solutions for tractable mesh sizes. Different approaches for stabilization of the dislocation transport equations as presented here (or similar) may be found in [22–24].

The behaviour of individual dislocation walls in a single slip system is captured adequately by our continuum model. However, a limitation of our model is its continuum nature, requiring a sufficient number of dislocation walls in the domain. A continuum description is unable to capture the distribution of dislocation walls when there is only a limited number of dislocations. The derivation of the interaction stress assumes that the walls are continuously distributed in the direction of the slip plane. In the case of a pile-up of walls against an impenetrable barrier, the linear part of the pile-up is captured accurately if the number of walls is sufficiently high. When the stress is removed in the case of a double pile-up, a continuum model cannot capture the discrete distribution when the number of dislocation walls is small.

It is shown that the short-range dislocation interactions can be easily implemented in an implicit finite element model for continuum dislocation transport. Although the current governing equations are formulated in terms of an idealised single-slip case, the ideas developed here may be extendable to more general cases with multiple active, and interacting, slip systems with mixed dislocations. As a first step, the extension to multiple slip systems with straight edge dislocations is considered in a forthcoming paper, assuming the Taylor-like organisation of the dislocations at the level of each individual slip system. This leads to balance laws for dislocation transport on each slip system which are equivalent with those for the single system considered here. The further extension to dislocations of mixed edge-screw type, cross-slip, etc. is a subject of further research.

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## Authors' contributions

The theory regarding continuum dislocation transport was derived by MD, with input and suggestions from RP and MG to define the scope of the study. The implementation of dislocation transport in the continuum model and obtaining the simulation results were carried out by MD. The manuscript was drafted by MD. RP helped to draft the manuscript by providing input during the various stages of the drafting proces. Both RP and MG also contributed by critically revising the manuscript regarding both text and intellectual content. All authors read and approved the final manuscript.

### Acknowledgements

This research was carried out under the project number M22.2.09342 in the framework of the Research Program of the Materials innovation institute M2i (http://www.m2i.nl).

### Competing interests

The authors declare that they have no competing interests.

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### Cite this article

Dogge, M.M.W., Peerlings, R.H.J. & Geers, M.G.D. Extended modelling of dislocation transport-formulation and finite element implementation.
*Adv. Model. and Simul. in Eng. Sci.* **2**, 29 (2015). https://doi.org/10.1186/s40323-015-0051-7

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DOI: https://doi.org/10.1186/s40323-015-0051-7