Title: Yuanbing Miao
1Meshless Natural Neighbour Method and Its
Application in Elasto-plastic Problems
- Yuanbing Miao
- Graduate Student, Department of Geotechnical
Engineering, - Tongji University, Shanghai, P.R. China
- 2004.11.6
2Overview
- Introduction
- Theory of Meshless Natural Neighbour Method
- Numerical Examples
- Conclusions
3Introduction
- Finite Element Method(FEM) and Meshless Methods
- Classification of Meshless Methods
- Advantages of Meshless Natural Neighbour Method
(MNNM)
4FEM and Meshless Methods
Element Mesh by FEM
Nodal points by Meshless Methods
5Difficulties In FEM
- Finite element method are difficult to analyze
problems involving - Moving discontinuities, e.g., crack propagation.
- High gradients, e.g., shock waves.
- Large material distortion, e.g., manufacturing
processes. - Multiple-scale phenomenon, e.g., strain
localization.
6Advantages of Meshless Methods
- It requires neither domain nor surface
discretization. - Better handles large material distortion.
- Customized shape functions for desired
smoothness. - High solution accuracy and rate of convergence.
7Classification of Meshless Method
SPH
Kernel function approximation
RKPM,
EFG
Least square approximation
FPM
Hp Clouds,
NEM
Natural neighbour interpolation
NNM
MNNM,
Others
Radial basis function,
8- Notice that the first two classes are base on
approximation method - Difficult to impose essential boundary
conditions. - Difficult to treat discontinuities.
- Methods based on Natural neighbour interpolation
such as NEM and NNM - Essential boundary conditions can be imposed as
easily as FEM. - But the Delaunay triangulation of the whole
analysis region is needed to construct the
natural neighbour shape function .
9Advantages of MNNM
- Its shape function takes full advantages of
natural neighbour shape function. - Adopts the means similar to EFG to seek the
natural neighbour points of the intergal points
and the Delaunay triangulation of the whole
region are avoided.
10Theory of MNNM
Search for natural neighbours
The algorithm for the neighbour-search in MNNM is
based on the local Delaunay triangles
- Set up a set of distinct nodes at the arbitrary
geometry shape of domain. - Let the initial influence nodes of the point P be
confined within the dashed lines of the square as
shown in Fig.1.
Fig.1 Discrete model of regionO and its arbitrary
integrate point p(x,y)
11Search for natural neighbours
- Find the node 1 which is the nearest to sample
point P. - Starting with edge P-1, use the empty
circumcircle criterion to find node 2, then form
a Delaunay triangle ?P12. - In the same way, we can form a set of locally
defined triangles. - The nodes 1-6 are just the natural neighbours of
the point P.
Delaunay triangle
Fig.2 natural neighbour of point p
12Laplace interpolation
The voronoi cell of the point P
Laplace shape function for node i is defined as
13From the definition of Laplace interpolation, the
following properties can be obtained easily
These properties make the Laplace interpolant the
only meshless data interpolation which can
exactly satisfy essential boundary conditions.
14After defining of the shape function, The global
forms of displacement approximations of point
can be written as
Using the same procedure as FEM, we have applied
the MNNM to the analysis of two-dimensional
elasto-plastic problems.
15Numerical Examples
Example I Thick Cylinder
The material is perfectly elasto-plastic with E
85570Kpa, µ 0.3. The Von-Mises yield criterion
is adopted and ss 10Kpa.
A thick cylinder subjected to internal pressure
16Comparison of normal stress
17Comparison of shear stress
18Example II Cantilever Beam
A rectangle cantilever beam subjected to
concentrated load at the free end
19Comparison of sx
20Conclusions
- The MNNM takes full advantages of NNM and avoid
the Delaunay triangulation of the whole region. - By combining with incremental initial stress
method, the MNNM has been applied into
elasto-plastic analysis successfully. - It is expected that the proposed method can be
used to solve some more complicated geotechnical
engineering, as well as large deformation
analysis such as landsliding and pile
penetration.
21- Thank you for your attention!