Johnson-Cook material parameters .
Limitations of the finite element method (FEM) in some cases involving large deformations as in forging or high compression tests are overcome nowadays by meshless methods such as the smoothed particle hydrodynamic (SPH) method. This paper presents a corrected total Lagrangian SPH formulation for problems encountering large deformations in solid mechanics. The continuum is modeled as a Hamiltonian system of particles (energy-based framework). The total Lagrangian formulation proposed overcomes some problems faced by standard SPH in simulating solid mechanic problems such as tensile instability. Numerical applications compared with experimental results are presented to show the capabilities of this novel formulation.
- Hamiltonian system
- total Lagrangian
- solid mechanics
The use of the smoothed particle hydrodynamic (SPH) method [1, 2, 3, 4, 5] (Figure 1) in solid mechanics is quite recent (in the 1990s) compared to the SPH fluid formulation. Libersky and Petschek  and Libersky et al.  are cited as the first to use SPH in solid mechanics, for impacts modeling at high speeds and phenomena of rupture, perforation, and fragmentation. As SPH is a meshless method, there is no mesh to distort; it can efficiently handle large deformations. SPH is an efficient numerical method for applications in forging processes , machining [8, 9, 10], and welding . Classical approach is widely used to describe SPH equations but faces drawbacks such as lack of completeness and tensile instability (numerical fragmentation). Total Lagrangian corrected SPH formulation is then used to fix the cited problems. In this paper, a Hamiltonian formulation is proposed for dynamic and steady-state problem simulation focusing on numerical efficiency such as accuracy and simulation time. The governing equations are derived following a Lagrangian variational principle leading to a Hamiltonian system of particles [12, 13, 14]. With the Hamiltonian SPH formulation, local conservation of momentum between particles is respected, and they remain locally ordered during the process as wanted in solid mechanic problems.
Total Lagrangian formulation reduces also the computational time by avoiding the search for neighboring particles for the construction of the kernel function at each time step. Through axial and lateral compression tests, the accuracy of the new formulation is shown. Results are compared to a classical formulation based on differential equations for solid mechanic applications.
2. Discrete equations of motion from energy-based formulation
The governing equations are derived following a Lagrangian variational principle leading to a Hamiltonian system of particles (energy-based) [12, 17, 18, 19] where the motion of each particle is given by the classical Lagrange equations. Therefore, as explained by Bonet et al. , constants of the motion such as linear and angular momentum are conserved.
For each particle, the physical quantities are calculated through interpolation over neighbor particles. Every particle is considered as a moving thermodynamic subsystem . The volume of each particle is given by
To proceed with a variational formulation of the equations of motion of the continuum, the kinetic K, internal , and external energy of the system need to be defined.
With dissipative effects such as plasticity, the equations of motion of the system of particles representing the continuum can be evaluated following the classical Lagrangian formalism. For more details, readers can refer to Ba and Gakwaya :
where and are the spatial position and velocity of the particle i, is the dissipative energy, and L is the Lagrangian given by
The total kinetic energy of the system can be approximated as the sum of the kinetic energy of each particle:
For a common case where the external forces result from a gravitational field
The total internal energy can be expressed as the sum of the products of particle masses by the amount of energy accumulated per unit mass that depends on the deformation, density, or other constitutive parameters:
The dissipative energy can also be expressed as
where is the dissipative energy per unit mass and is the rate of deformation tensor.
with the velocity gradient given by
where is the SPH kernel function and
3. Corrected total Lagrangian SPH formulation for solid mechanics
Total Lagrangian formulation [20, 21] is well suited for solid mechanic problems as the SPH particles change less often their neighbors than in fluid mechanics . The SPH kernels and their gradients are then expressed in the initial configuration (material coordinates are used). The proposed corrected kernel is to address the lack of completeness and interpolation consistency; the smoothing length
Lagrangian and spatial coordinates are connected through the gradient of deformation tensor
The expression of the corrected gradient of deformation tensor
where is the gradient with respect to a material point
The corrected mass conservation equation for particle i is
where and are the Jacobian and the initial density.
The corrected momentum equation for a particle i is
where , , and are the acceleration, the normalized smoothing function, and the body force.
where is the Cauchy stress tensor and is the inverse of the transpose of the gradient of deformation tensor.
The corrected energy conservation equation for particle i is
where is the energy rate, is the mechanical contribution (heat generated by the plastic dissipation), k is the conductivity, and T is the temperature of the particle.
The equation of motion and the equation of the thermal energy of each particle can be put after discretization and evaluation of all the interactions in the following forms:
where and are the internal and external forces, and are the internal and the external heat flux, and
The expression for the internal force for a given particle can be expressed by differentiating the internal energy per unit mass with respect to the nodal positions as
Internal heat flux can be expressed as
Explicit finite difference method is used to solve numerically the differential equation presented in this section through explicit dynamic algorithm to update the velocity, position, and temperature of each SPH particle.
4. Temporal integration scheme
A typical integration scheme used for integrating SPH equations is the leapfrog algorithm (Figure 2), an extension of the Verlet algorithm with low storage memory during computation.
The heat transfer equations are integrated using the explicit forward-difference time integration rule .
is computed at the beginning of the increment by
The stability time is given by
where is the smallest interparticle distance and is the diffusivity of the material.
For the mechanical part, an explicit central-difference integration rule is used to integrate the equation of motion. The nodal accelerations at time t is given by
The stable time is calculated as follows:
where and are, respectively, the characteristic length of the element and the dilatational wave speed of the material.
The whole thermomechanical problem is solved by explicit coupling; both the forward-difference (for the thermal problem) and central-difference (for the mechanical problem) integrations are explicit.
The structure of the SPH code is described below (Figure 2). The time integration routine is the main subroutine. It calculates the new variables (density, acceleration, external force, internal force).
5. Material behavior
where is the plastic strain, is the plastic strain rate, is the reference plastic strain rate, is the melting temperature, is the reference temperature, is the current temperature, is the yield stress, is the coefficient of strain hardening, is the coefficient of strain rate hardening, n is the strain hardening exponent, and m is the thermal softening exponent.
The material used for the simulations (see Section 6) is an Al-Zn-Mg-Cu aluminum alloy. The Johnson-Cook material parameters are shown in Table 1.
|A (MPa)||B (MPa)||c||n||m||(s−1)||Tm (°C)||Tr (°C)|
6.1 Axial compression test
A cylindrical sample (diameter, 25.4 mm; length, 25.4 mm) was subjected to the uniaxial compression test at constant velocity (2.54 mm s−1) and high temperature (400°C). Both experimental and numerical tests were performed (Figure 3). The aim of this test is to demonstrate the efficiency of the proposed total Lagrangian SPH formulation. We compared the numerical stress-strain curve with the experimental ones to verify the accuracy and the stability of the code (see Figure 4). To confirm the validity of the experimental result, the tests were repeated three times.
6.2 Lateral compression test
Lateral compression test is performed in this section (Figure 5). Eulerian and Lagrangian simulation time are compared, and tensile instability is verified. The test is carried out at 30 mm s−1, and cylindrical sample (diameter 25.4 mm, length 25.4 mm) with 5313 particles was used. This is a case of a large deformation test; the initial diameter of the sample was reduced over 50% during the test. See comparison of results at Table 2.
|Simulation time||Number of particles|
|Eulerian SPH||4 h 04 min||5313|
|Lagrangian SPH||1 h 36 min||5313|
Figures 4 and 5 and Table 2 gather the tests results. From Figure 4 (axial compression test), we can see that the SPH result is very accurate compared to the experimental ones. Less than 5% of error is noted between the curves. The simulated sample shows no clustered particles, meaning there is no tensile instability.
Figure 5 and Table 2 show the results of the lateral compression test and confirm the previous result. Even in very large deformation test, particles keep their initial neighbors and do not suffer from tensile instability. In addition, the simulation time is very interesting compared to classical SPH formulation; simulation time is reduced drastically (from 4 h 04 min to 1 h 36 min); a good numerical efficiency is reached.
A corrected SPH particle approximation in energy-based framework is presented. Stability (no tensile instability), accuracy, and fast result production are shown leading to the conclusion that the total Lagrangian SPH formulation is very well suited to simulate solid mechanic problems. This is particularly interesting in simulating large deformation problems with physical fragmentation where the numerical fragmentation (tensile instability) will not corrupt the results.
The author wishes to acknowledge Augustin Gakwaya for his appreciated help.
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