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AN EFFICIENT LINEAR ELASTIC
FEM SOLVER USING AUTOMATIC
LOCAL GRID REFINEMENT AND
ACCURACY CONTROL
HARSHAL PATIL
1 3ME63R26
INTRODUCTION
Industrial problems with higher degrees of freedom.
Features
A controlled accuracy level which is imposed priori.
A fast solver & a quasi -minimal problem size.
A n a u t o m a t i c 3 D m e s h e r.
To a c h i e v e t h e s e o b j e c t i v e s
An algorithm based on several discretization levels is
u s e d , l e a d i n g t o a l o c a l l y a d a p t i v e m u l t i g r i d s o l v e r.





Discretization Error
Optimal Mesh Design
Error Estimators

The dynamic mesh construction based on local or
global error estimators is the basic concept of
adaptive techniques.




h- method
P- method
hp- method

In this work,
h-method with local error indicators is used
Dual nature of multigrid techniques
 Ef ficient Solvers
 Error Estimators
Combination of 2 multigrid technique advantages
 An ef ficient convergence of numerical errors
 Simple & intrinsic error estimation.
Non-conforming techniques are found to be more
efficient.
Local mesh refinement also uses non -conforming
meshes.
MULTIGRID TECHNIQUES
Intensive use of several discretization levels
Ef f icient communication between these dif ferent
levels
The per formance gain is conditioned by a limited
computing cost for this interlevel communication.
The algorithm presented in this paper merges an
accuracy control, an ef ficient multilevel solver & an
a u t o m a t i c 3 D m e s h e r.
Several error estimators are available




Equilibrium Unbalance
Error in the Constitutive Relation
Stress field non-regularity

For static linear calculations, displacement & element
energy criteria are well suited.
All the results presented below are based on an
element energy criterion.
EFFICIENCY
The method efficiency is based on
 An ef ficient solver
 A localized problem
 A dedicated implementation
MULTIGRID SOLVER


The main goal is to obtain a solver with complexity
close to 1 (optimal case)



Complexity is defined as the relation between the
problem size and the number of numerical
operations required for the solution.



Low frequencies on a given fine mesh appear as
high frequencies on a much coarser mesh and can
be ef ficiently corrected
MULTIGRID SOLVER
LOCAL REFINEMENT






Coarse problem is refined in cer tain par ts of the
domain based on accuracy criterion.
The circled fine node is corrected using the nearest
node of the FINE SKIN MESH.
I d e a l l y, o n e s h o u l d b e a b l e t o r e f i n e t h e s k i n m e s h
i f n e c e s s a r y.
IMPLEMENTATION
Keep the execution time complexity as linear as
possible using minimum memory
The preferred data structure is a compressed format
An internal boundar y on level (L) is created between
the refined and non refined domain
RESULT
CONCLUSION

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An efficient linear elastic FEM solver using automatic local grid refinement and accuracy control

  • 1. AN EFFICIENT LINEAR ELASTIC FEM SOLVER USING AUTOMATIC LOCAL GRID REFINEMENT AND ACCURACY CONTROL HARSHAL PATIL 1 3ME63R26
  • 2. INTRODUCTION Industrial problems with higher degrees of freedom. Features A controlled accuracy level which is imposed priori. A fast solver & a quasi -minimal problem size. A n a u t o m a t i c 3 D m e s h e r. To a c h i e v e t h e s e o b j e c t i v e s An algorithm based on several discretization levels is u s e d , l e a d i n g t o a l o c a l l y a d a p t i v e m u l t i g r i d s o l v e r.
  • 3.    Discretization Error Optimal Mesh Design Error Estimators The dynamic mesh construction based on local or global error estimators is the basic concept of adaptive techniques.    h- method P- method hp- method In this work, h-method with local error indicators is used
  • 4. Dual nature of multigrid techniques  Ef ficient Solvers  Error Estimators Combination of 2 multigrid technique advantages  An ef ficient convergence of numerical errors  Simple & intrinsic error estimation. Non-conforming techniques are found to be more efficient. Local mesh refinement also uses non -conforming meshes.
  • 5. MULTIGRID TECHNIQUES Intensive use of several discretization levels Ef f icient communication between these dif ferent levels The per formance gain is conditioned by a limited computing cost for this interlevel communication. The algorithm presented in this paper merges an accuracy control, an ef ficient multilevel solver & an a u t o m a t i c 3 D m e s h e r.
  • 6. Several error estimators are available    Equilibrium Unbalance Error in the Constitutive Relation Stress field non-regularity For static linear calculations, displacement & element energy criteria are well suited. All the results presented below are based on an element energy criterion.
  • 7. EFFICIENCY The method efficiency is based on  An ef ficient solver  A localized problem  A dedicated implementation
  • 8. MULTIGRID SOLVER  The main goal is to obtain a solver with complexity close to 1 (optimal case)  Complexity is defined as the relation between the problem size and the number of numerical operations required for the solution.  Low frequencies on a given fine mesh appear as high frequencies on a much coarser mesh and can be ef ficiently corrected
  • 10. LOCAL REFINEMENT    Coarse problem is refined in cer tain par ts of the domain based on accuracy criterion. The circled fine node is corrected using the nearest node of the FINE SKIN MESH. I d e a l l y, o n e s h o u l d b e a b l e t o r e f i n e t h e s k i n m e s h i f n e c e s s a r y.
  • 11. IMPLEMENTATION Keep the execution time complexity as linear as possible using minimum memory The preferred data structure is a compressed format An internal boundar y on level (L) is created between the refined and non refined domain