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5/22/2012
Page 1
SDA Webinar
Introduction to NX Nastran SOL 200
Design Optimization
David Cross
Senior Stress Analyst at SDA
david@structures.aero
July 23, 2015
5/22/2012
Page 2Page 2
Webinar Overview
• About SDA
• What is Design Optimization?
• Demonstrations
– Thickness optimization of a stiffened rectangular plate
• Optimization model setup in Femap
• Post-process optimization results
• Quick comparison to HyperSizer results
– Thickness optimization of wing with buckling constraints
• How to add buckling constraints
• Adjusting the optimizer’s parameters to improve convergence
• Additional Resources
• Questions
Femap – Model Optimization
Dialogue Box
5/22/2012
Page 3Page 3
What is Design Optimization
• An optimizer is a formal plan, or algorithm, used to
search for a “best” design.
• “Best” Design
– Objective Function
– Design Variables
– Constraints
• NX Nastran uses a gradient-based algorithm
– Uses design sensitivities to find “best” search direction
– Rate of change of analysis response with respect to
changes in the design variables
– Finds local optimum, not necessarily the global optimum
Geometric Interpretation (Comes from NX
Nastran Optimization User’s Manual)
5/22/2012
Page 4Page 4
Design Optimization in Femap with NX Nastran
• SOL 200 can be used with…
Statics (Femap Supports)
Normal Modes (Femap Supports)
– Buckling
– Direct and Modal Frequency
– Modal Transient
– Acoustic
– Aeroelastic
• Design variables are defined in relation to property or
material entries.
• Design constraints are defined in relation to analysis
responses.
• Basically any field on a property or material card can be
set as a design variable. (Limited in Femap)
• Shape variables, which allow nodes to move can be
defined as well. (Not supported in Femap)
5/22/2012
Page 5
Stiffened Plate Model
• Orthogrid Stiffened Panel
• Metallic
• 6 psi External Pressure
• Linear Static Analysis
• Optimization Problem
– Minimize Mass
– Subject to:
– Stress Constraints
– Displacement Constraints
– Lower and Upper Bounds
(side constraints)
Simply-Supported Constraints on all edges
40”
40”
5/22/2012
Page 6
Math Programming Problem
min
𝒕∈ℝ42
𝑀𝑎𝑠𝑠(𝒕) s. t. 𝒈 𝒕 ≤ 0
𝒈 𝑡 =
𝝈 𝑉𝑀 𝒕 − 25,000
𝜹 𝑍 𝒕 − 0.35
0.05 − 𝑡𝑖
𝑡𝑖 − 0.25
≤ 0 , 𝑖 = 1,2, … , 42
• Initial Design  All thicknesses set to 0.10”
• Initial Mass = 22.74 lbs.
• Initial design satisfies all constraints
• Room for improvement
0.148” Max Displacement
15 ksi Max Stress
5/22/2012
Page 7
Optimum Solution – Thickness and Mass Results
• Initial Mass = 22.74 lbs.
• Optimized Mass = 14.54 lbs.
• Percent Relative Decrease of 36%
Shows an active constraint
0.03766 slinches
View the Webinar
5/22/2012
Page 8
Optimum Solution – Stress and Displacement Results
Peak stresses close to constraint
value in many places
Max displacement =
Constraint Value of 0.35”
Properties that show
relatively low peak
stresses are those at
minimum gauge.
5/22/2012
Page 9
Different Initial Design Point
Initialized All Properties at Min Gauge (0.05”)
• Optimized Mass = 14.62 lbs. (slightly heavier)
• Nearly identical optimum design as the first run
HyperSizer Result
Minimum Margin of Safety
• Optimized Weight = 14.08 lbs.
• May need additional iterations with FEA
• Nastran uses 1e-3 default convergence tolerance
5/22/2012
Page 10
Optimum Thicknesses
ID
Thickness
Opt 1
Thickness
Opt 2
Thickness
HyperSizer
1 0.073 0.073 0.0683
2 0.062 0.062 0.0576
3 0.062 0.062 0.0576
4 0.073 0.076 0.0697
5 0.062 0.062 0.0576
6 0.058 0.058 0.0530
7 0.058 0.058 0.0530
8 0.062 0.062 0.0576
9 0.062 0.062 0.0576
10 0.058 0.058 0.0530
11 0.058 0.058 0.0530
12 0.062 0.062 0.0576
13 0.073 0.073 0.0697
14 0.062 0.062 0.0576
15 0.062 0.062 0.0576
16 0.073 0.073 0.0697
17 0.052 0.05 0.0500
18 0.05 0.05 0.0500
19 0.05 0.05 0.0500
20 0.05 0.05 0.0500
21 0.067 0.068 0.0636
22 0.05 0.05 0.0500
23 0.05 0.05 0.0500
24 0.068 0.067 0.0636
25 0.05 0.05 0.0500
26 0.05 0.05 0.0500
27 0.05 0.05 0.0500
28 0.05 0.05 0.0500
29 0.081 0.082 0.0833
30 0.05 0.05 0.0500
31 0.05 0.05 0.0500
32 0.05 0.05 0.0500
33 0.05 0.05 0.0500
34 0.069 0.067 0.0636
35 0.05 0.05 0.0500
36 0.05 0.05 0.0500
37 0.068 0.067 0.0636
38 0.05 0.05 0.0500
39 0.05 0.05 0.0500
40 0.05 0.05 0.0500
41 0.05 0.05 0.0500
42 0.05 0.055 0.0500
5/22/2012
Page 11
Wing Optimization with Skin Buckling
• Metallic wing with skins, ribs, spars, and stringers
• Uniform pressure load on bottom surface
• Linear Static Analysis and Linear Buckling Analysis
• Optimization Problem
– Minimize Mass
– Subject to:
– Stress Constraints
– Buckling Constraints
– Lower and Upper Bounds
(side constraints)
5/22/2012
Page 12
Math Programming Problem
min
𝒕∈ℝ42
𝑀𝑎𝑠𝑠(𝒕) s. t. 𝒈 𝒕 ≤ 0
𝒈 𝑡 =
𝝈 𝑉𝑀 𝒕 − 45,000
λ 𝑏 𝒕 − 1.15
0.03 − 𝑡 𝑠𝑘𝑖𝑛,𝑖
0.05 − 𝑡 𝑟𝑖𝑏,𝑖
0.05 − 𝑡 𝑠𝑝𝑎𝑟,𝑖
𝑡𝑖 − 0.5
≤ 0 , 𝑖 = 1,2, … , 63
• Initial Design  Skins are 0.08” and ribs/spars are 0.10”
• Initial Mass = 116 lbs.
• Initial design dramatically violates buckling constraint
• From this alone, it is easy to see that the design will be mostly if not
entirely driven by min gauge and buckling.
5/22/2012
Page 13
Best Compromise Infeasible Design
Improvement, Converging
Not Improving Anymore (Still Positive)
• Design is flat-lining, but the buckling constraint is still violated.
• Small changes in the design variable result in mode switching.
• Only constraining the first buckling mode.
• Optimizer treats buckling eigenvalue as a continuous variable.
• The optimizer has too little information.
Iter 21
Iter 22
Iter 23
5/22/2012
Page 14
Converged Optimum
• Initial Mass = 116 lbs.
• Optimized Mass = 93 lbs.
• Percent Relative Decrease of 20%
λ1 = 1.139
λ2 = 1.139
λ3 = 1.145
λ4 = 1.149 λ5 = 1.15
• Tracking first five buckling modes
• Set looser convergence tolerances
Converged within 1e-2 tolerance setting
Flat-lining
5/22/2012
Page 15
Optimization/Sizing in HyperSizer
• HyperSizer evaluates buckling margins
with closed form solutions.
• Buckling margin calculated for every
property (component).
• Here I assume simply-supported
boundary conditions.
• Iterations with FEA are critical to allow
loads to redistribute and converge.
View the Webinar
5/22/2012
Page 16
λ1 = 1.139
λ2 = 1.139
λ3 = 1.145
λ4 = 1.149 λ5 = 1.15
Comparison to HyperSizer Solution
NX Nastran SOL 200
Upper Skin Thicknesses
HyperSizer
Upper Skin Thicknesses
HyperSizer Total Weight = 96 lbs
Nastran Buckling Analysis of
HyperSizer Solution
λ1 = 1.20
SOL 200 Total Weight = 93 lbs
5/22/2012
Page 17
About SDA (aka “Structures.Aero”)
• SDA was founded in 1997 and provides expert aerospace
structural analysis
• We serve a variety of industries
• We specialize in composites, and developing strong,
lightweight structures that are readily manufacturable
• Low level support up through developing test plans
and advanced stress analysis
• Typical support programs include small to large UAVs,
manned and unmanned spacecraft, naval structures
• Our team consists of over a dozen B.S., M.S., and PhD
level engineers
• SDA is located in Sterling, VA, just north of Dulles Airport
near Washington DC
Learn more about
Structural Design and Analysis
5/22/2012
Page 18Page 18
Typical Projects We Support
• Some of our previous projects include:
– Aircraft
• Aurora Excalibur
• MHADD ARES
• Vanilla VA1
• Lockheed Constellation restoration for Lufthansa
– Spacecraft
• NASA NESC Composite Crew Module (CCM)
• NASA NESC Max Launch Abort System (MLAS)
• NASA James Webb Space Telescope/IEC
• NASA Orion Heatshield mass reduction for NESC
• NASA Orion Crew Module (with Lockheed)
• NASA WFIRST Telescope for Goddard
Aerosonde
Heatshield
Shadow M2
CCM
Orion Crew Module
5/22/2012
Page 19Page 19
Partnerships
Siemens Value Added Reseller Collier Research Corporation Reseller
FEMAP NX Nastran
Fibersim Solid Edge
HyperSizer Pro
HyperSizer
Express
5/22/2012
Page 20
Conclusions and Additional Resources
What We Covered
• Brief introduction to design optimization
• Optimization model setup in Femap
– Objective function
– Design Variables
– Constraints
• General considerations and post-processing
– Function plotting
– How to check for convergence
– How to help account for modal switching
• Comparisons to HyperSizer
Questions?
As a Siemens PLM Software
channel partner SDA provides first
line support for Femap with NX
Nastran
Contact
David Cross
david@structures.aero
Structural Design and Analysis
703-673-1125
46030 Manekin Plaza
Sterling, VA 20166

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Introduction to NX Nastran SOL 200 - Design Optimization

  • 1. 5/22/2012 Page 1 SDA Webinar Introduction to NX Nastran SOL 200 Design Optimization David Cross Senior Stress Analyst at SDA david@structures.aero July 23, 2015
  • 2. 5/22/2012 Page 2Page 2 Webinar Overview • About SDA • What is Design Optimization? • Demonstrations – Thickness optimization of a stiffened rectangular plate • Optimization model setup in Femap • Post-process optimization results • Quick comparison to HyperSizer results – Thickness optimization of wing with buckling constraints • How to add buckling constraints • Adjusting the optimizer’s parameters to improve convergence • Additional Resources • Questions Femap – Model Optimization Dialogue Box
  • 3. 5/22/2012 Page 3Page 3 What is Design Optimization • An optimizer is a formal plan, or algorithm, used to search for a “best” design. • “Best” Design – Objective Function – Design Variables – Constraints • NX Nastran uses a gradient-based algorithm – Uses design sensitivities to find “best” search direction – Rate of change of analysis response with respect to changes in the design variables – Finds local optimum, not necessarily the global optimum Geometric Interpretation (Comes from NX Nastran Optimization User’s Manual)
  • 4. 5/22/2012 Page 4Page 4 Design Optimization in Femap with NX Nastran • SOL 200 can be used with… Statics (Femap Supports) Normal Modes (Femap Supports) – Buckling – Direct and Modal Frequency – Modal Transient – Acoustic – Aeroelastic • Design variables are defined in relation to property or material entries. • Design constraints are defined in relation to analysis responses. • Basically any field on a property or material card can be set as a design variable. (Limited in Femap) • Shape variables, which allow nodes to move can be defined as well. (Not supported in Femap)
  • 5. 5/22/2012 Page 5 Stiffened Plate Model • Orthogrid Stiffened Panel • Metallic • 6 psi External Pressure • Linear Static Analysis • Optimization Problem – Minimize Mass – Subject to: – Stress Constraints – Displacement Constraints – Lower and Upper Bounds (side constraints) Simply-Supported Constraints on all edges 40” 40”
  • 6. 5/22/2012 Page 6 Math Programming Problem min 𝒕∈ℝ42 𝑀𝑎𝑠𝑠(𝒕) s. t. 𝒈 𝒕 ≤ 0 𝒈 𝑡 = 𝝈 𝑉𝑀 𝒕 − 25,000 𝜹 𝑍 𝒕 − 0.35 0.05 − 𝑡𝑖 𝑡𝑖 − 0.25 ≤ 0 , 𝑖 = 1,2, … , 42 • Initial Design  All thicknesses set to 0.10” • Initial Mass = 22.74 lbs. • Initial design satisfies all constraints • Room for improvement 0.148” Max Displacement 15 ksi Max Stress
  • 7. 5/22/2012 Page 7 Optimum Solution – Thickness and Mass Results • Initial Mass = 22.74 lbs. • Optimized Mass = 14.54 lbs. • Percent Relative Decrease of 36% Shows an active constraint 0.03766 slinches View the Webinar
  • 8. 5/22/2012 Page 8 Optimum Solution – Stress and Displacement Results Peak stresses close to constraint value in many places Max displacement = Constraint Value of 0.35” Properties that show relatively low peak stresses are those at minimum gauge.
  • 9. 5/22/2012 Page 9 Different Initial Design Point Initialized All Properties at Min Gauge (0.05”) • Optimized Mass = 14.62 lbs. (slightly heavier) • Nearly identical optimum design as the first run HyperSizer Result Minimum Margin of Safety • Optimized Weight = 14.08 lbs. • May need additional iterations with FEA • Nastran uses 1e-3 default convergence tolerance
  • 10. 5/22/2012 Page 10 Optimum Thicknesses ID Thickness Opt 1 Thickness Opt 2 Thickness HyperSizer 1 0.073 0.073 0.0683 2 0.062 0.062 0.0576 3 0.062 0.062 0.0576 4 0.073 0.076 0.0697 5 0.062 0.062 0.0576 6 0.058 0.058 0.0530 7 0.058 0.058 0.0530 8 0.062 0.062 0.0576 9 0.062 0.062 0.0576 10 0.058 0.058 0.0530 11 0.058 0.058 0.0530 12 0.062 0.062 0.0576 13 0.073 0.073 0.0697 14 0.062 0.062 0.0576 15 0.062 0.062 0.0576 16 0.073 0.073 0.0697 17 0.052 0.05 0.0500 18 0.05 0.05 0.0500 19 0.05 0.05 0.0500 20 0.05 0.05 0.0500 21 0.067 0.068 0.0636 22 0.05 0.05 0.0500 23 0.05 0.05 0.0500 24 0.068 0.067 0.0636 25 0.05 0.05 0.0500 26 0.05 0.05 0.0500 27 0.05 0.05 0.0500 28 0.05 0.05 0.0500 29 0.081 0.082 0.0833 30 0.05 0.05 0.0500 31 0.05 0.05 0.0500 32 0.05 0.05 0.0500 33 0.05 0.05 0.0500 34 0.069 0.067 0.0636 35 0.05 0.05 0.0500 36 0.05 0.05 0.0500 37 0.068 0.067 0.0636 38 0.05 0.05 0.0500 39 0.05 0.05 0.0500 40 0.05 0.05 0.0500 41 0.05 0.05 0.0500 42 0.05 0.055 0.0500
  • 11. 5/22/2012 Page 11 Wing Optimization with Skin Buckling • Metallic wing with skins, ribs, spars, and stringers • Uniform pressure load on bottom surface • Linear Static Analysis and Linear Buckling Analysis • Optimization Problem – Minimize Mass – Subject to: – Stress Constraints – Buckling Constraints – Lower and Upper Bounds (side constraints)
  • 12. 5/22/2012 Page 12 Math Programming Problem min 𝒕∈ℝ42 𝑀𝑎𝑠𝑠(𝒕) s. t. 𝒈 𝒕 ≤ 0 𝒈 𝑡 = 𝝈 𝑉𝑀 𝒕 − 45,000 λ 𝑏 𝒕 − 1.15 0.03 − 𝑡 𝑠𝑘𝑖𝑛,𝑖 0.05 − 𝑡 𝑟𝑖𝑏,𝑖 0.05 − 𝑡 𝑠𝑝𝑎𝑟,𝑖 𝑡𝑖 − 0.5 ≤ 0 , 𝑖 = 1,2, … , 63 • Initial Design  Skins are 0.08” and ribs/spars are 0.10” • Initial Mass = 116 lbs. • Initial design dramatically violates buckling constraint • From this alone, it is easy to see that the design will be mostly if not entirely driven by min gauge and buckling.
  • 13. 5/22/2012 Page 13 Best Compromise Infeasible Design Improvement, Converging Not Improving Anymore (Still Positive) • Design is flat-lining, but the buckling constraint is still violated. • Small changes in the design variable result in mode switching. • Only constraining the first buckling mode. • Optimizer treats buckling eigenvalue as a continuous variable. • The optimizer has too little information. Iter 21 Iter 22 Iter 23
  • 14. 5/22/2012 Page 14 Converged Optimum • Initial Mass = 116 lbs. • Optimized Mass = 93 lbs. • Percent Relative Decrease of 20% λ1 = 1.139 λ2 = 1.139 λ3 = 1.145 λ4 = 1.149 λ5 = 1.15 • Tracking first five buckling modes • Set looser convergence tolerances Converged within 1e-2 tolerance setting Flat-lining
  • 15. 5/22/2012 Page 15 Optimization/Sizing in HyperSizer • HyperSizer evaluates buckling margins with closed form solutions. • Buckling margin calculated for every property (component). • Here I assume simply-supported boundary conditions. • Iterations with FEA are critical to allow loads to redistribute and converge. View the Webinar
  • 16. 5/22/2012 Page 16 λ1 = 1.139 λ2 = 1.139 λ3 = 1.145 λ4 = 1.149 λ5 = 1.15 Comparison to HyperSizer Solution NX Nastran SOL 200 Upper Skin Thicknesses HyperSizer Upper Skin Thicknesses HyperSizer Total Weight = 96 lbs Nastran Buckling Analysis of HyperSizer Solution λ1 = 1.20 SOL 200 Total Weight = 93 lbs
  • 17. 5/22/2012 Page 17 About SDA (aka “Structures.Aero”) • SDA was founded in 1997 and provides expert aerospace structural analysis • We serve a variety of industries • We specialize in composites, and developing strong, lightweight structures that are readily manufacturable • Low level support up through developing test plans and advanced stress analysis • Typical support programs include small to large UAVs, manned and unmanned spacecraft, naval structures • Our team consists of over a dozen B.S., M.S., and PhD level engineers • SDA is located in Sterling, VA, just north of Dulles Airport near Washington DC Learn more about Structural Design and Analysis
  • 18. 5/22/2012 Page 18Page 18 Typical Projects We Support • Some of our previous projects include: – Aircraft • Aurora Excalibur • MHADD ARES • Vanilla VA1 • Lockheed Constellation restoration for Lufthansa – Spacecraft • NASA NESC Composite Crew Module (CCM) • NASA NESC Max Launch Abort System (MLAS) • NASA James Webb Space Telescope/IEC • NASA Orion Heatshield mass reduction for NESC • NASA Orion Crew Module (with Lockheed) • NASA WFIRST Telescope for Goddard Aerosonde Heatshield Shadow M2 CCM Orion Crew Module
  • 19. 5/22/2012 Page 19Page 19 Partnerships Siemens Value Added Reseller Collier Research Corporation Reseller FEMAP NX Nastran Fibersim Solid Edge HyperSizer Pro HyperSizer Express
  • 20. 5/22/2012 Page 20 Conclusions and Additional Resources What We Covered • Brief introduction to design optimization • Optimization model setup in Femap – Objective function – Design Variables – Constraints • General considerations and post-processing – Function plotting – How to check for convergence – How to help account for modal switching • Comparisons to HyperSizer Questions? As a Siemens PLM Software channel partner SDA provides first line support for Femap with NX Nastran Contact David Cross david@structures.aero Structural Design and Analysis 703-673-1125 46030 Manekin Plaza Sterling, VA 20166