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Variational formulation for the smooth
particle hydrodynamics (SPH) simulation of fluid
and solid problems
J. Bonet *, S. Kulasegaram, M.X. Rodriguez-Paz, M. Profit
Civil and Computational Engineering Centre, School of Engineering, University of Wales Swansea, Singleton Park,
Swansea SA2 8PP, UK
Received 5 July 2003; received in revised form 10 October 2003; accepted 4 December 2003
Abstract
The paper describes the variational formulation of smooth particle hydrodynamics for both fluids and solids
applications. The resulting equations treat the continuum as a Hamiltonian system of particles where the constitutive
equation of the continuum is represented via an internal energy term. For solids this internal energy is derived from the
deformation gradient of the mapping in terms of a hyperelastic strain energy function. In the case of fluids, the internal
energy term is a function of the density. Once the internal energy terms are established the equations of motion are
developed as equations of Lagrange, where the Lagrangian coordinates are the current positions of the particles. Since
the energy terms are independent of rigid body rotations and translations, this formulation ensures the preservation of
physical constants of the motion such as linear and angular momentum.
Ó 2004 Elsevier B.V. All rights reserved.
Keywords: Smooth particle hydrodynamics
1. Introduction
Smooth particle hydrodynamics (SPH) is a truly mesh-free technique initially developed by Lucy,
Gingold and others for the simulation of astrophysical problems [1–11]. The technique was later extended
to model free surface flows by Monaghan [11–13] and to simulate large strain solid mechanics problems byLibersky and others [14–16]. More recently several authors have made substantial progress on improving
the accuracy of the basic technique by introducing correction or re-normalisation terms [17–22]. In addi-
tion, the stability properties of the method have been studied in detail by various authors, specially for the
case of solids, where the presence of tension leads to the phenomenon of tension instability [23–27].
* Corresponding author. Tel.: +44-1797-295-689; fax: +44-1792-295-676.
E-mail address: [email protected] (J. Bonet).
0045-7825/$ - see front matter Ó 2004 Elsevier B.V. All rights reserved.
doi:10.1016/j.cma.2003.12.018
Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256
www.elsevier.com/locate/cma
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The aim of the paper is to present the corrected SPH technique from the point of view of a variational
formulation for both fluids and solids. In this way, the continuum is represented by a discrete set of
particles each with a given mass and velocity. The constitutive representation of the material is achieved via
an internal energy term, which for adiabatic reversible problems is simply a function of the particle posi-tions. In this way the continuum is modelled as a Hamiltonian system of particles and the motion of each
particle is given by the classical Lagrange equations. This procedure of deriving the governing equations
bypasses the standard differential equations of equilibrium and, more importantly, ensures that the con-
stants of the motion such as linear and angular momentum are preserved. The final equations for the
internal (stress based) forces can then be extended to more complex constitutive models without loss of
momentum preservation characteristics.
For the fluid case the internal energy term is derived from the traditional SPH equation for the density
and the paper will show that this is variationally consistent with the most commonly used expression for the
internal forces. The paper will then explain how to introduce dissipative effects in the form of viscosity into
the variational framework.
In the solid case, a total Lagrangian approach is employed, which has been shown not to suffer from
tension instability [27]. This leads to a set of equations for the internal forces based on the first Piola–
Kirchhoff tensor. The paper will finally present some examples to illustrate the techniques proposed.
2. Smooth particle hydrodynamics interpolation
In the smooth particle hydrodynamics (SPH) method, a given function f ðxÞ and its gradient r f are
approximated in terms of values of the function at a number of neighbouring particles and a kernel
function W ðx À xb; hbÞ ¼ W bðx; hbÞ as
f hðxÞ ¼ X M
b¼1
V b f bW bðx; hbÞ and r f hðxÞ ¼ X M
b¼1
f bgbðxÞ; ð1Þ
where h is the smoothing length and determines the support of the kernel (see Fig. 1); V b denotes a tributary
volume associated to particle b (typically evaluated as the particle mass dived by the density); and in the
standard SPH technique, the gradient vectors g are simply gb ¼ V brW b. More recently, however, re-nor-
malised or corrected SPH methods have been derived in which the gradient functions are amended to
Fig. 1. SPH interpolation.
1246 J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256
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ensure that the gradient of a general constant or linear function is correctly evaluated. This requirement
leads to two simple conditions for these gradient vectors, namely
X M
b¼1gbðxÞ ¼ 0 and
X M
b¼1xb gbðxÞ ¼ I: ð2Þ
A possible simple way of fulfilling these conditions is obtained by introducing a vector and tensor cor-
rection terms, e and L, respectively, to give
gbðxaÞ ¼ V bLa½rW bðxaÞ þ eadab: ð3Þ
Substituting this equation into the above requirement leads to explicit equations for the correction terms as
ea ¼ ÀX M a
b¼1
V brW bðxaÞ and La ¼X M a
b¼1
V bðxb
"À xaÞ rW bðxaÞ
#À1
: ð4Þ
With the help of these terms, the second expression in Eq. (1) will furnish the correct gradient of constant
and linear functions. This interpolation will be used later to evaluate strains inside a solid continuum.
3. Equations of motion
Consider now a continuum represented by a large set of particles as shown in Fig. 2. Each particle a is
described by a mass ma, a position vector xa, and a velocity vector va. In order to proceed with a variational
formulation of the equations of motion of the continuum, it is necessary to define the kinetic, internal and
external energy of the system. For instance, the total kinetic energy of the system can be simply approx-
imated as the sum of the kinetic energy of each particle:
K ¼
1
2Xamaðva Á vaÞ: ð5Þ
Similarly, for a common case where the external forces result form a gravitational field g, the total external
energy is
Pext ¼ ÀXa
maðxa Á gÞ; ð6Þ
The internal energy, on the other hand will incorporate the constitutive characteristics of the continuum. In
general, it is possible to express the total internal energy as the sum of the products of particle masses by the
amount of energy accumulated per unit mass p, that is
Fig. 2. Continuum represented by a set of particles.
J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256 1247
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Pint ¼Xa
mapðq; . . .Þ; ð7Þ
where p will depend on the deformation, density or other constitutive parameters.
The equations of motion of the system of particles representing the continuum can now be evaluated
following the classical Lagrangian formalism to give
d
dt
oL
ova
ÀoL
oxa
¼ 0; Lðxa; vaÞ ¼ K ðvaÞ À PintðxaÞ À PextðxaÞ: ð8Þ
Substituting Eqs. (5)–(7) into the above expression leads to the standard Newton Õs second law for each
particle as
maaa ¼ Fa À Ta; ð9Þ
where aa is the acceleration of the particle; the external forces Fa, for the simple gravitational case, are
Fa ¼ À
oPext
oxa ¼ mag ð10Þ
and the internal constitutive forces are defined as
Ta ¼oPint
oxa
¼o
oxa
Xb
mbpðqb; . . .Þ: ð11Þ
The evaluation of this last term will inevitably require the constitutive definition of the material in question
and will therefore be carried out in the following sections, separately for solids or fluids. Note that provided
that the internal forces are evaluated in accordance with the above equation, the resulting expression will be
consistent with the preservation of linear and angular momentum.
In a computational context, it is now possible to update the velocities and positions of the particles by,
for instance, using a simple leap-frog integration scheme defined by
vnþ12
a ¼ vnÀ12
a þ Dt ana; xnþ1
2a ¼ xn
a þ Dt vnþ12
a : ð12Þ
This type of time integrator preserves the constant of the motion and is therefore highly suitable for
mechanical systems. However, it is well known that its explicit nature makes it conditionally stable and that
the time step size Dt must satisfy the condition:
Dt 6 ah
c; ð13Þ
where a is the Courant number and c the speed of the sound wave.
4. Solids––total Lagrangian formulation
Consider the case in which the continuum modelled as a system of particles represents an elastic solid.
The motion is then described by a mapping / (see Fig. 3), which relates the current to the initial position of
each continuum particle [28]
x ¼ /ðX; t Þ: ð14Þ
The internal energy per unit mass is given by the elastic strain energy which is a function of the deformation
gradient tensor F as
p ¼ pðFÞ; F ¼ox
oX: ð15Þ
1248 J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256
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The deformation gradient tensor at each particle can be evaluated with the help of Eq. (1) in terms of thecurrent nodal positions as
F ¼X N b¼1
xb g0bðXÞ; ð16Þ
where g0b denote the gradient vectors at the initial body configuration. It is now possible to obtain the
expression for the internal forces by differentiating the internal energy per unit mass with respect to nodal
positions to give
Ta ¼Xb
mb
q0b
Pbg0aðXbÞ; ð17Þ
where the first Piola–Kirchhoff vector is defined as
P ¼ q0b
op
oFð18Þ
and is related to the Cauchy stresses by [28]:
q0
qr ¼ PFT: ð19Þ
The above derivation has been carried out exclusively for the case of an elastic solid. However, it is now
possible to employ the final equation for the internal forces in the more general context of irreversible
constitutive models such as plasticity, viscoelasticity, etc. In such cases the internal forces may not be given
as the derivative of a potential with respect to nodal positions, but if Eq. (17) is used, they will still be
consistent with the preservation of momentum.
5. Compressible and nearly incompressible fluids
In the case of a fluid the notion of a fixed reference state is not physically appropriate and it is therefore
necessary to define internal energy making reference only to the current nodal positions. Again, it is first
necessary to restrict the derivation to the reversible case, in which the internal energy is simply a function of
the density of the fluid. Moreover, the explicit nature of the time integration proposed above makes it
necessary to allow for some compressibility in the fluid. The incompressible case is then only achieved in a
penalty sense by increasing the bulk modulus of the material.
Fig. 3. Large strain solid deformation.
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The evaluation of the density for a given distribution of particle masses is obtained by simply applying
the first part of Eq. (1) to the density to give
qðxaÞ ¼X M
b¼1mbW aðxb; haÞ; ð20Þ
which is the classical SPH approximation for the density of the fluid at each particle. The corresponding
internal forces are now evaluated by simple differentiation to give
Ta ¼o
oxa
Xb
mbpðqbÞ ¼Xb
mb
dp
dqb
oqboxa
: ð21Þ
The derivative of the internal energy for a reversible adiabatic process is related to the pressure by
p ¼ q2 dp
dq: ð22Þ
In addition, the derivative of the density with respect to nodal positions can obtained from Eq. (22). Itsevaluation, however, will depend on whether the smoothing length ha is kept constant throughout the
motion or allowed to vary. In general, for nearly incompressible flows, this value is kept constant, whilst it
is typically allowed to change when the compressibility is significant.
5.1. Constant h case
In this case the derivative of the density with respect to nodal positions is simply obtained as
oqboxa
¼ marW bðxaÞ À dabXc
mcrW aðxcÞ: ð23Þ
Substituting into Eq. (21) and noting that for the common case of spherical kernel functions with constantsmoothing length: rW bðxaÞ ¼ ÀrW aðxbÞ, yields the internal force expression as
Ta ¼Xb
mamb
p a
q2a
þp b
q2b
rW bðxaÞ; ð24Þ
which is, in fact, the classical equation used in SPH calculations [12]. Again, it is now important to
emphasize that the resulting equations for the internal forces can now be employed in more general irre-
versible processes.
5.2. Variable h case
Generally, if the flow is highly compressible it is necessary to change the value of the smoothing length inaccordance with the density. Otherwise, leaving a constant value may lead to particles with hardly any
neighbours in the case of expansion or with far too many in the case of compression. To avoid this, the
smoothing length is typically linked to the density via the equation:
qahd a ¼ qaðt 0Þhaðt 0Þ
d ¼ constant: ð25Þ
The derivation of the variationally consistent internal forces is now more complex and will be detailed in
a forthcoming publication. Suffice to say that the resulting expression for the internal forces is
Ta ¼Xb
mamb
p a
aaq2a
rW aðxb; haÞ
À
p b
abq2b
rW bðxa; hbÞ
; ð26Þ
1250 J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256
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where a represents a scalar correction term given by
aa ¼1
qad Xbmbr ab
dW a
dr ; r ab ¼ kxa À xbk: ð27Þ
5.3. Viscosity
In the context of the proposed variational formulation, viscosity can be introduced via a dissipative
potential. This leads to a new term in the Lagrange equations as
d
dt
oL
ova
ÀoL
oxa
¼ ÀoPdis
ova: ð28Þ
In general, the dissipative potential will be expressed as the sum of viscous potentials per unit mass w, which
in turn are functions of the rate of deformation tensor d, as
Pdis ¼ Xa
mawðdÞ; 2d ¼ rv þ rvT: ð29Þ
For instance, in the case of a Newtonian fluid with kinematic viscosity m ¼ l=q, the viscous potential is
defined as
wðdÞ ¼ mðd0: d0Þ; d0 ¼ d À 1
3ðtr dÞI ð30Þ
so that the viscous stresses are obtained by differentiation to give
rvis ¼ q
ow
od¼ 2ld0: ð31Þ
The gradient of the velocity at each continuum particle is obtained with the help of Eq. (1) as
rva ¼X M a
b¼1vb gbðxaÞ: ð32Þ
This enables the internal forces due to viscous effects to be evaluated after simple algebra as
Tvisa ¼
oPdis
ova¼Xb
mb
rvisb
qb
gaðxbÞ: ð33Þ
Note that in contrast with the equations derived in the previous section for the solid case, the gradient
vectors are now in the current configuration. It has been shown that this type of equation can lead to
instabilities in the presence of negative pressures (tension). In general, however, fluids will remain in
compression, at least in absolute terms, and this problem will not arise.
6. Examples
6.1. Taylor impact bar
This section presents numerical results from the simulation of a small cylindrical copper bar against a
rigid plane wall. The bar has an initial length of 0.0324 m and initial radius 0.0032 m. The Initial velocity of
the bar is 227 m/s and the termination time of the problem is 80 ls. Von Mises plasticity with linear iso-
tropic hardening is employed for the numerical computation. Material properties used for copper are given
in Table 1. This is a classical dynamic test example and the results obtained match closely those achieved
using a standard FE formulation [29].
J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256 1251
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Fig. 4 above shows the deformed shape and the distribution of equivalent plastic strain at various stages
of the numerical simulation. The results show that the mesh-less method yields a slightly larger maximal
equivalent plastic strain than the finite element solution reported in [29], but the discrepancy is small.
6.2. Oscillating cylinder
This example involves a nearly incompressible neo-Hookean [28] cylinder travelling with initial velocity
of 1.88 m/s to the right which is suddenly fixed at its base. The initial radius is 0.32 m and the length 3.24 m.
The shear modulus is 0.3571 MN/m2 and the bulk modulus is 1.67 MN/m2. The shapes obtained at different
times are shown in Fig. 5. The same example has been run using a standard dynamic FE code with identical
initial nodal positions and tri-linear eight noded cube elements. The SPH and FE solution for the centreline
of the cylinder at three different times are compared in Fig. 6, where the agreement can be seen to be
excellent.
Table 1
Copper bar material properties
Elastic modulus E (GN/m2) 117
PoissonÕs ratio m 0.35
Yield stress r y (GN/m2) 0.4
Hardening modulus H (GN/m2) 0.1
Density q (kg/m3) 8930
Fig. 4. High speed impact test. Contours of plastic strain.
1252 J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256
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6.3. Dam breaking flow past a cylinder
This final example involves the collapse of a rectangular 3-D dam in the presence of a rigid cylinder. The
constitutive equation use for the fluid ignores viscosity and allows a small amount of incompressibility by
using an equation of state of the form [12]:
p ¼ jq
q0
cÀ 1
; ð34Þ
0
0.5
1
1.5
2
2.5
3
3.5
0 0.5 1 1.5 2
FE solution
CSPH solution
y - p o s ( m )
x-pos (m)
Fig. 6. Oscillating cylinder––FE comparison.
Fig. 5. Oscillating cylinder.
J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256 1253
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where c ¼ 7 and the bulk modulus employed is derived so that the Mach number of the flow is small(typically 0.1–0.01). This is achieved by setting [12]:
k ¼ c2maxq=c; where cmax ¼ kvkmax=m; ð35Þ
where m is the desired Mach number. Fig. 7 shows various stages of the solution.
7. Concluding remarks
The paper has presented a unified variational formulation covering solids, perfect fluids and viscous
fluids. The main advantages of using such a procedure to derive the equations of motion is that the resulting
Fig. 7. Dam breaking flow past a cylinder.
1254 J. Bonet et al. / Comput. Methods Appl. Mech. Engrg. 193 (2004) 1245–1256
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discrete equations are guaranteed to preserve the constant of the motion such as linear and angular
momentum. The procedure proposed works well for both fluids and solids with the possible exception of
solids where as a result of plasticity very large deformations will take place. In such cases the solid will start
to behave more like a fluid and the viscous formulation proposed may be more appropriate than mappingthe deformation to an initial reference state. The alternative would be to repeatedly update the reference
configuration as deformation progresses. This type of updated Lagrangian formulation is currently under
consideration.
Acknowledgements
This work was partly funded by research contract GR/M84312 from EPSRC. This financial support is
gratefully acknowledged. The third author wishes to thank CONACYT (The Mexican Council of Science
and Technology) and ORS for the support given to this research project.
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