Glaucio H. Paulino - USI Informatics · Paulino et al. “Polygonal finite elements for mixed...
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Stable Topology Optimization: A Barycentric FEM Approach
NSF Workshop : Barycentric Coordinates in Geometry Processing and Finite/Boundary Element Methods
Glaucio H. Paulino
Acknowledgments:NSF – National Science Foundation
SOM – Skydmore, Owings and Merrill
University of Illinois at Urbana-ChampaignNEWMARK Laboratory
Donald B. Willett Professor of Eng.
Columbia University, New York, July 25-27, 2012
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Pop Quiz: Is the sidewalk real or simulated ?
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Professor Paulino’sResearch Group
Cam Talischi Arun Gain Tomas Zegard Sofie Leon
Daniel Spring Junho Chun Evgueni Fillipov Will Colletti
Lauren Stromberg
B
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2 Posters
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Optimization of shape and topology
• The goal is to find the most efficient shape of a physical system
The cost function depends on the physical response as well as the geometric features of admissible shapes
The response is captured by the solution to a boundary value problem that in turn depends on the given shape
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Existence of solutions
• Shapes with fine features are naturally favored, which leads to nonconvergent minimizing sequences that exhibit rapid oscillations
Existence of solutions can be guaranteed by introducing some suitable form of regularization in the problem
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Large-scale optimization problem
• Accurate analysis of the response and capturing detailed features required fine spatial discretizations which leads to a large number of design and analysis variables
We can exploit the composite nature of the cost function
to derive convergent optimization algorithms. Forward-backward splitting, for example, leads to iterations of the form
C. Talisch and G. H. Paulino “An operator splitting algorithm for Tikhonov-regularized topology optimization” Computer Methods in Applied Mechanics and Engineering, 2012 (to appear).
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Sample result
Design domain β = 0.01
β = 0.05 Comparable “filtering” result
B
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Stable Topology Optimization
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Stable Topology Optimization
C. Talischi, G. Paulino, A. Pereira and IFM Menezes. Polygonal finite elements for topology optimization: A unifying paradigm. IJNME, 82(6):671-698, 2010
Polygonal Elements T6 ElementsBaricentric FEM
M
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Design of Piezocomposite Material Unit Cell
k = 0.298Gain(1) = 105.5%/0 = 4.6
k = 0.319Gain(1) = 120.0%/0 = 4.9
Polygonal Element fixed polarization
Polygonal Element free polarization
(1) w.r.t. PZT-5A (k = 0.145)
Unit Cell PeriodicMatrix
Stress (/0)
k = 0.291Gain(1) = 100.7%/0 = 5.1
Quad Element fixed polarization
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C. Talischi, G. Paulino, A. Pereira and IFM Menezes. Polygonal finite elements for topology optimization: A unifying paradigm. IJNME, 82(6):671-698, 2010
18 dofs – %51 error
20 dofs – %27 error
3 quads and 1 pentagon
Stability
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• Numerical instabilities such the “checkerboard” problem could appear in mixed variational formulation (pressure-velocity) of the Stokes flow problems.
velocity
checkerboard on pressure
Lid-driven cavity problem
Q4 elements
Stability
Paulino et al. “Polygonal finite elements for mixed variational problems” , 2012
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velocity
pressure
• Numerical instabilities such the “checkerboard” problem could appear in mixed variational formulation (pressure-velocity) of the Stokes flow problems.
Lid-driven cavity problem
Polygonal elements
Stability
Paulino et al. “Polygonal finite elements for mixed variational problems” , 2012
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• Babuska-Brezzi condition (or inf-sup)
– Required for the stability of mixed variational formulation of incompressible elasticity and Stokes flow problems
– Polygonal discretizations satisfy the well-known Babuska-Brezzi condition
Hexagon
Quadrilateral
Polygon
Stability
Paulino et al. “Polygonal finite elements for mixed variational problems” , 2012
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PolyMesher & PolyTop
Talischi C, Paulino GH, Pereira A, Menezes IFM. PolyMesher: A general-purpose mesh generator for polygonal elements written in Matlab. Structural and Multidisciplinary Optimization, 45(3):309-328, 2012.
Talischi C, Paulino GH, Pereira A, Menezes IFM. PolyTop: A Matlab implementation of a general topology optimization framework using unstructured polygonal finite element meshes. Structural and Multidisciplinary Optimization, 45(3)329-357, 2012.
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G.A.M.E.S. Camp
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• Makes complex structural engineering concepts accessible to middle and high school students!
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• Motivation and Background: Craniofacial reconstruction
• Load transfer mechanism
• Multi-resolution Topological Optimization
• Results
Craniofacial Reconstruction
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Craniofacial Reconstruction
– Head or Facial Trauma– Cancer patients who lost part
of the bony structure, soft tissue
Complex and Challenging• 3D Complex Architecture• Serves Functional and aesthetic role Facial expression, mastication, speech, and Deglutition (swallowing of food)
Facial Appearance19
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CancerTissue destruction Deformity Decreased Quality of
Life
Treatment• Surgery• Radiation• Chemotherapy
Craniofacial Reconstruction Cancer
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Current Approach
• Heuristic Approach• Ad‐hoc method by the surgeon during surgery
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Yamamoto [2005]
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Fibula Osteotomies
Osteotomies
Clinical Approach
22Medical Modeling Inc.
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Fibula Osteotomies Surgery
Clinical Problem
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Topology Optimization Alternative …
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Goals of the replacement bone• Give support to orbital content, Avoid Changes in globe position, orbital volume, eyelid functions
• To preserve a platform for mastication, speech and dental rehabilitation
• To recreate an adequate and symmetric facial contour with other side of face
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Topology Optimization
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Topology Optimization ProcedureProblem formulation
Solid and Isotropic Material with Penalization (SIMP)
0( ) ρ( )pE Eψ ψ
T
ρ
min
min (ρ, )
. . : (ρ)
(ρ) ρ( )
0 ρ ρ( ) 1
d d
d
s
C
s t
V dV V
u f u
K u f
ψ
ψ
Finite Element Analysis
Objective Function & Constraints
Converged?
Result
Sensitivities Analysis
Update Material Distribution
Initial guess
Yes
No
Filtering (Projection) Technique
P
T
1 1 ( ) ( ) ( )
el el
e
N N
e e ee e
d
K ρ K B D B
T 1 T 0
e
pee e e e e e
e e
e
C p
V dV
Ku u u K u
25
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Large-scale (high resolution) TOP Large number of finite elements
Computationally expensive: FEA cost
Existing high resolution TOP Parallel computing (Borrvall and Petersson, 2000)
Fast solvers (Wang et al. 2007)
Approximate reanalysis (Amir et al. 2009)
Adaptive mesh refinement (de Stuler et al. 2008)
High Resolution Topology Optimization
Same discretization for analysis and design optimizationSame discretization for analysis and design optimization
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Conventional element-based approach (Q4/U) Same discretization for displacement and density
Multiresolution Topology Optimization (MTOP)
Displacement Density/design variable
MTOP approach (Q4/n25) Different discretizations for displacement and density/design variables
Displacement Density Design variable
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MTOP• B8/n125 Element
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N. Aage, M.N. Jørgensen, C.S. Andreasen and O. Sigmund. Interactive topology optimization on hand-held devices, under preparation, 2012
MTOP is being used as the engine for the topology optimization APP recently developed by the Danish group (2012)
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Craniofacial Reconstruction
• MRI Data • Select Boundary Conditions• Select Load
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2D Verification of the Concept
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Craniofacial Reconstruction
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Craniofacial Reconstruction
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Craniofacial Reconstruction
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The entire process in 40 seconds …
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Biological Constraints
Successful Tissue TransferMechanical Variable + Biological Constraint –Vascular Healing
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Experimental Validation
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Load-transfer mechanism
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• Topology optimization for high-rise buildings
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Lauren Stromberg
Building Science Through Topology Optimization
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• Application of pattern gradation to the conceptual design of buildings– Flexible tool for unique shapes– Increasing column sizes– Dominance of shear behavior at
top vs. overturning moment at base
• In collaboration with Skidmore, Owings & Merrill, LLP
• Lotte Tower (Korea): optimized bracing using pattern gradation concepts
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Lauren Stromberg
Building Science Through Topology Optimization
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• Topology optimization for structural braced frames: combining continuum and beam/column elements
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2/P
P
P
P
P
P
Image courtesy of SOM
Building Science Through Topology Optimization
Lauren Stromberg
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• Connecting engineering and architecture using structural topology optimization
• Goal: to create unique, innovative designs that are both aesthetically pleasing and satisfy engineering principles
• Zendai competition: optimal designs resembling nature
43 photography.nationalgeographic.comImage courtesy of SOM
Building Science Through Topology Optimization
Lauren Stromberg
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Concluding Remarks
• FOBOS with Tikhonov Regularized TOP leads to nearly B&W solutions
• Baricentric FEM provides a stable formulation for Topology Optimization
• Topological Optimization is a linkage between medicine & engineering – promising approach for patient-specific computer-aided design of mid-face reconstruction
• Topological Optimization is a linkage between architecture & engineering – leads bioinspired design of tall buildings
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http://ghpaulino.com