Material Parameterization in Topology Optimization for Crashworthiness Designs PowerPoint PPT Presentation

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Title: Material Parameterization in Topology Optimization for Crashworthiness Designs


1
Material Parameterization in Topology
Optimization for Crashworthiness Designs
  • Punit Bandi
  • First Year Graduate Student
  • Aerospace and Mechanical Engineering Department
  • University of Notre Dame

Advisor Dr. John E. Renaud Aerospace and
Mechanical Engineering Department University of
Notre Dame
2
Introduction
  • Topology Optimization
  • Iterative process for obtaining the best
    arrangement of a limited volume of structural
    material within a given design domain
  • Elimination and redistribution of material
    throughout the domain
  • Crash Event
  • Structural behavior during transient loading
  • Plastic material behavior during Topology
    Optimization

3
Internal Energy Density
  • Elastic Strain Energy
  • Inelastic Strain Energy

4
Material Parameterization
  • Homogenization approach
  • Based on composite material models
  • Density approach
  • One design variable each material element
  • Material can assume intermediate property values
    by defining an interpolation function
  • CrasHCA uses relative density (xi) as design
    variable
  • xi 0 (void) and xi 1 (solid)

5
Material Parameterization (Cont)
  • Density and other material properties are mapped
    to relative density as

6
Motivation
  • To minimize the maximum stresses in the
    structure, IED should be evenly distributed among
    various elements (CAs)
  • This work shows the nature of variation in IED as
    design variable xi varies
  • To obtain a smooth convergence of HCA algorithm
    IED should vary monotonically wrt xi

7
Test Model
  • FEA is performed using LS-Dyna Implicit on an
    isotropic cubic material element of
  • Steel
    Aluminum 6063
  • ?0 7800 Kg/m3 ?0 2700
    Kg/m3
  • E0 207 GPa E0 70 GPa
  • ?0 0.29 ?0
    0.33
  • sy0 253 MPa sy0 241
    Mpa
  • Plastic 8 point Eh 7
    GPa
  • stress-strain curve

8
Results
Material yields quickly i.e. at high x as
penalization q is increased
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Results (Cont)
10
Results of Neals work
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Conclusions
  • Monotonic nature of the variation of IED with x
    has been confirmed
  • The affect of penalization parameters p and q on
    material yielding has been studied
  • Same kind of analysis can be done for Topology
    Optimization with shell elements with thickness
    as design variables

12
Thank You
13
Stresses in the block
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Results (Cont)
3x3x3 block
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Results (Cont)
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Results (Kishore)
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Points to be discussed
  • Reasons for different behavior of curve in
    different conditions.
  • Our main concerns for doing this exercise.
  • How does it affects our crasHCA code.
  • Does the model for this exercise is similar to
    what we have in crasHCA.
  • Why Neals plot show such high values of IE as
    any try to achieve such high values causes
    unrealistic deformations (in my model)

18
Points to be discussed
  • Is taking different sets of values for p and q
    changes the final topology if not then is there
    any effect on the rate of convergence.

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Possible Reason
  • High forces for relatively low values of
    densities gives high values of IE (LS-Dyna
    numerically) but the deformations involved are
    unrealistic.
  • Example 3x3x3 block with force 4x5x106 N for
    density x0.05 gives IE 1.37x1010J while the
    simulations shows

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Unreal Deformations
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crasHCA runs for material parameterization
  • Run1 p1, q1/3
  • Run2 p1, q1/2
  • Run3 p1, q2/3
  • Run4 p1, q1
  • Run5 p2, q2
  • Run6 p3, q3

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Run1 Summary
  • Total of iterations 58

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Run4 Summary
  • Total of Iterations 38

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Final Topologies Comparison
P1,q1/3
P1,q1
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