MSC.NASTRAN Product Detail - Optimization

MSC.NASTRAN Product Details
Optimization Module

Product Description      
       
Optional Analysis Modules
  • Optimization

Optimization is a capability of MSC.NASTRAN that enables you to synthesize and optimize your designs. Sensitivity analysis is also available in Optimization.

Models
Analysis Types:
Optimization may be applied to the following analysis types
  • Basic Analysis
    • Linear statics analysis
    • Normal modes analysis
    • Buckling analysis
  • Dynamic Response
    • Modal frequency response
    • Direct frequency response
    • Modal transient response
    • Acoustic analysis
Design Variable Parameters:  
  • Shape variables are tied to the geometry
  • Sizing variables are tied to finite element properties
  • Shape and sizing variables can both be used in the same run
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Large models:
Efficient optimization algorithms permit the use of hundreds of design variables and responses for large models. Efficiencies include:
 
  • Design variable linking - multiple design variables can be linked
  • Approximation methods - three methods are provided
  • Robust optimization algorithms - three methods are provided
  • Constraint deletion and regionalization - only the critical constraints retained
  • Restarts - optimization restarts from a completed design cycle and continued
  • Adjustable convergence criteria and move limits - for faster convergence
  • Sparse matrix solver - faster speed and minimal disk space
  • Adjoint Sensitivity Analysis
  • Mode Tracking
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Response Types:
Either design objective or the performance constraints
 
 
Analysis Type Response
All Weight
Volume
Linear Statics Displacement
Stress
Strain
Force
Lamina strain
Lamina stress
Lamina failure criterion
Normal modes Normal mode number
Buckling Buckling mode number
Frequency response Displacement
Velocity
Acceleration
Constraint force
Stress
Force
Transient response Displacement
Velocity
Acceleration
Constraint force
Stress
Force
 
User-defined Equations Support:  
  • RMS (root-mean-square) type responses
  • Cost and other non-structural objectives
  • Model updating to match test data
  • Beam properties as a function of sectional dimensions
  • Minimization of the maximum response
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