<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Tensor Smooth Length for SPH High Speed Impact Modelling of</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Roman Cherepanov</string-name>
          <email>RCherepanov82@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Alexander Gerasimov</string-name>
          <email>Ger@niipmm.tsu.ru</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Institute of Applied mathematics and mechanics, Tomsk State University 634050</institution>
          ,
          <addr-line>Lenina av. 36, Tomsk</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2016</year>
      </pub-date>
      <fpage>271</fpage>
      <lpage>276</lpage>
      <abstract>
        <p>SPH method with tensor form of smoothing parameter is proposed for high speed impact modelling. Calculation of tensor smoothing parameter is based on deformation of local coordinate system and can be obtained from strain tensor evolution. Strain anisotropy in such an approach does not cause mixing of the particles while maintaining the uniform distribution of particles and the resulting solution is more smooth. Weak variational formulation is used to construct numerical integration of motion equations scheme and procedure of restoring of particle consistency is used for calculation of spatial derivatives. Boundary conditions for free surface and contact surface are realized.</p>
      </abstract>
      <kwd-group>
        <kwd>smoothed particles</kwd>
        <kwd>variable smoothing length</kwd>
        <kwd>high speed impact</kwd>
        <kwd>SPH</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>Introduction
Smoothed particle hydrodynamics was introduced as a numerical method for
study of the motion of compressible gas with self-gravity of arbitrary geometry
in three dimensions in astro-physics [1], [2]. Particles are used to represent a
sub-set of the fluid elements in the Lagrangian description of a fluid, and spatial
derivatives are calculated from analytical interpolation formulae, SPH is well
suited to problems in which large deformations can occur, such as the
fragmentation of self-gravitating gas clouds. The spatial resolution of SPH is determined
by particle density and the smoothing length, h. Originally h was taken to be
constant, and was a globally defined function of the average density of particles
in the system. More recently, however, it has become common for each particle
to have its own time dependent smoothing length which corresponds to the
local neighbors count. Full advantage is then taken of the Lagrangian nature of
SPH, and the dynamic range in spatial resolution of the method is increased.
Time-dependent smoothing lengths can, however, lead to problems with energy
conservation in certain situations [4]. The problem arises from the fact that the
use of variable smoothing lengths means that additional terms should appear
in the particle equations of motion. Other important problem is lack of
accuracy when variable smoothing length is used. This problem arises from the fact,
that SPH approcsimation originally has form of analytical interpolation, based
on integration, and there is some difference between analytical integration and
its approximation via summation over number of particles. Nonuniform particle
distribution lead to particle inconsistency problem, as a presence of boundary
and variable smoothing length lead to one too. In should be noted, that high
speed impact is accompanied by large deformations. When smoothing length is a
scalar, smoothing kernel should have spherical symmetry, and large anisotropic
deformations in this case can cause non-physical numerical fracture and particle
mixing. In this paper we propose conservative SPH with variable time-dependent
tensor smooth parameter, and free surface boundary condition algorithm is
proposed too.
1.1</p>
    </sec>
    <sec id="sec-2">
      <title>SPH basics</title>
      <p>Basis of SPH approximation is equation</p>
      <p>where h is smoothing parameter, which define a radius of fluency for points,
 – is a space coordinate,  - smoothing function.</p>
      <p>where  - integration constant,  ( ) - cubical b-spline</p>
      <p>Integration constant defined as
where V is 1D, 2D or 3D volume. Function  (u) usially is cubical B -spline:
  ∼=
︁∫</p>
      <p>( ) ( −   , ℎ ) 
 ( , ℎ ) =</p>
      <p>(| | /ℎ )

ℎ 3
︁∫</p>
      <p>=</p>
      <p>( )
 ( ) =
⎨
⎧ 0,  ≥ 2;</p>
      <p>
        0.25 · (2 −  )3 ,  ∈ (
        <xref ref-type="bibr" rid="ref1 ref2">1, 2</xref>
        ) ;
⎩ 0.75 · (︀ 1.0 −  2)︀ (2 −  ) ,  ∈ [0, 1] ;
−   , ℎ )  
 
where   ,   ,   ,   – radius-vector, approximated function value, mass and
density at k-th point.
(
        <xref ref-type="bibr" rid="ref1">1</xref>
        )
(
        <xref ref-type="bibr" rid="ref2">2</xref>
        )
(
        <xref ref-type="bibr" rid="ref3">3</xref>
        )
(
        <xref ref-type="bibr" rid="ref4">4</xref>
        )
(5)
(6)
Spatial derivatives are defined via:
      </p>
      <p>Corresponding to (5) particle approximation is written as:</p>
      <p>Equation (6) have  0-consistency [3] near surfaces and boundaries or at
non-uniform particle distribution, and for restoring particle consistency special
approaches is needed. According [3], a test vector-function is introduced in form:
 ( ) = (1,  0,  1,  2)</p>
      <p>
        Approximation of test function (
        <xref ref-type="bibr" rid="ref1">1</xref>
        ) and its derivatives (5) can be found with
 0-consistency, but due to the fact that this values are known, this
approximation can be used to construct correction procedure and restore particle
consistency. Let’s define :
 ( ) =
︂{   ;  &gt;
      </p>
      <p>−1;
1;  = −1;</p>
      <p>Matrix of approximations for this function at n-th point, found via
uncorrected SPH approximation (6):</p>
      <p>Now, corrected approximation of function f(x) value or its derivatives can
be found, if we build full matrix of uncorrected approximations (6) and apply
correction matrix (10):
 
 
   , ︀(  
−   , ℎ )︀
︃}
space step in FEM/FDM.
grangian of system:
Smoothing length ℎ defines maximum interparticle distance and therefore
defines particle count. From the other hand, particle count is related to
interparticle distance and smoothing length- greater particle count allow to use smaller
smoothing length. There is some analogy between smoothing length in SPH and
For calculation of elastic plastic flow, approximation (11) is applied to
La(7)
(8)
(9)
(10)
(11)
(12)
(13)
where   - is particle speed,   - is internal energy (per mass). Internal energy
change can be written in form:
where   is stress tensor and  ˙ is strain rate tensor of particle k respectively.
Lets define correction matrix as
 =
︁∑

 
︂(    
2
− 

︂)</p>
      <p>=   :  ˙</p>
      <p>This implies:
ities is linear:
︃)

Since the relation between a small deformations rate tensor and nodal
veloc ˙


=
1 (︂   +
2  
 
 
︂)
 
   ,  ︁(
   

+   

 )︁</p>
      <p>Because of energy conservation (14) and (15) leads to the relation between
the accelerations of nodes and stress field:
 ( , ℎ  ) =
︁(
  · [ℎ ]−1)︁ 2</p>
      <p>︃)
|ℎ  |

︃( √︃
︁∑</p>
      <p>˙
ℎ</p>
      <p>= ℎ   ,</p>
      <p>For scalar smoothing parameter spatial derivatives of smoothing function
have the form:

( , ℎ )
 
=

ℎ 3

(| /ℎ |) /  =
ℎ 3</p>
      <p>2
  · ℎ −1  ⃒</p>
      <p>⃒

⃒
⃒ =(| ·ℎ −1|)
for tensor smoothing ones have similar form:

( , ℎ  )
 
=


|ℎ  |
 · [ℎ  ]−1  ⃒</p>
      <p>⃒
 2

⃒
⃒ =(| ·ℎ −1|)


=
︁∑
  (︀</p>
      <p>−   :  ˙ )︀
︃(


︁∑


=
︁∑

 
 

 = −
 
   

,
/ 
treat a boundary.
was from 11 to 16.</p>
      <p>For impact problem we use a condition of zero normal stress at free surface
and equal normal stress and equal speeds on contact surface.</p>
      <p>In described method this boundary conditions does not need additional
operations, such as ”ghost particles” or special integration procedures for (5) to</p>
      <p>Smoothing length h was selected to provide sufficient count of neighbors for
each particle for correction matrix to be well defined. Usually neighbor count
Time step is defined via Courant–Friedrichs–Lewy condition:  &lt;
min [ℎ/
],
where C is the sound speed. At practice stability condition for heat transfer
problem is more weak while droplet radius exceed 1 mm.</p>
      <p>When smoothing length h is scalar parameter intensive deformations lead to
particle mixing and artificial fragmentation. To avoid this effects we introduced
a tensor smoothing parameter h :</p>
      <p>Initial value ℎ  = ℎ , equation of evolution of ℎ  is:
(14)
(15)
(16)
(17)
(18)
(19)
(20)</p>
    </sec>
    <sec id="sec-3">
      <title>3 Results</title>
      <p>A 38  m radius stainless steel cylinder with length of 190  m is impacting
with a velocity of 200 m/s on stainless steel substrate 64  m thin. Parameters
of steel: density 7.87 g/cm3, E=200GPa, G=70 GPa, Ypl=1.2MPa. As it shown
on Fig. 2, when impact speed is relatively small, results are similar.</p>
      <p>Fig. 2, when impact speed is relatively small, results are similar. Smoothing
tensor remains almost spherical in this condition and smoothing kernel with
tensor parameter differs slightly from standard kernel with scalar smoothing
length. More different results are obtained for impact speed 800 m/s (Fig. 3).
Tensile instability and particle mixing are not observed when tensor smoothing is
used, and shape of material ejection is tracked more accurately. At the same time,
usage of constant scalar smoothing length lead to particle mixing, numerical
fracture (as it seen on bottom part of Fig. 3-I) and intensive particle clustering.
Also, symmetry of results obtained with tensor smoothing is much better.
1.2</p>
    </sec>
    <sec id="sec-4">
      <title>Conclusion</title>
      <p>Introduction of tensor smoothing length in variational SPH-code is quite simple
and does not need significant calculation cost, and provide more accurate results
for high speed impact modelling.</p>
      <p>Acknowledgments. This work was supported by the Russian Science
Foundation (RSF) No. 16-19- 10264.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          1.
          <string-name>
            <surname>Lucy</surname>
          </string-name>
          , L.B.:
          <article-title>A numerical approach to the testing of fusion hypothesis</article-title>
          .
          <source>Astronomical Journal</source>
          <volume>82</volume>
          ,
          <fpage>1013</fpage>
          -
          <lpage>1024</lpage>
          (
          <year>1977</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2.
          <string-name>
            <surname>Gingold</surname>
            ,
            <given-names>R.A.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Monaghan</surname>
            ,
            <given-names>J.J.:</given-names>
          </string-name>
          <article-title>Smoothed particle hydro-dynamics: theory and applications to non-spherical stars</article-title>
          .
          <source>Monthly Notices of the Royal Astronomical Society</source>
          <volume>181</volume>
          ,
          <fpage>375</fpage>
          -
          <lpage>389</lpage>
          (
          <year>1977</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          3.
          <string-name>
            <surname>Liu</surname>
            ,
            <given-names>M.B.</given-names>
          </string-name>
          and
          <string-name>
            <surname>Liu</surname>
            ,
            <given-names>G.R.</given-names>
          </string-name>
          :
          <article-title>Restoring particle consistency in smoothed particle hydrodynamics</article-title>
          .
          <source>Applied Numerical Mathematics</source>
          <volume>56</volume>
          (
          <issue>1</issue>
          ),
          <fpage>19</fpage>
          -
          <lpage>36</lpage>
          (
          <year>2006</year>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          4. Richard P. Nelson, John C.B.
          <article-title>Papaloizou:Variable Smoothing Lengths and Energy Conservation in Smoothed Particle Hydrodynamics</article-title>
          .
          <source>Mon.Not.Roy.Astron.Soc</source>
          .
          <volume>270</volume>
          (
          <year>1994</year>
          )
          <fpage>1</fpage>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>