21.3. Guideline

• 21.3.1. Introduction
• 21.3.2. Guides for Design Formulation
  • 21.3.2.1. Numerical Noise in Dynamic Responses
  • 21.3.2.2. Noise or discontinuity due to variable time steps
  • 21.3.2.3. Discontinuity due to contact mechanism
• 21.3.3. Guides for Design Variables and Constants
• 21.3.4. Guides for Convergence Tolerance
  • 21.3.4.1. Convergence Criteria
  • 21.3.4.2. Premature Convergence in AutoDesign
  • 21.3.4.3. Convergence Relaxation Control
• 21.3.5. Guides for Multi-Objective Optimization
  • 21.3.5.1. Mathematical Formulation of Multi-Objective
  • 21.3.5.2. Multi-Objective Optimization in RecurDyn/AutoDesign
• 21.3.6. Guides for Robust Design and DFSS
  • 21.3.6.1. Robust Design Optimization
  • 21.3.6.2. Design For Six-Sigma (DFSS)
  • 21.3.6.3. Non-Feasibility of DFSS constraints
  • 21.3.6.4. Random Variables
  • 21.3.6.5. Random Constants
  • 21.3.6.6. Validation of Robust Design and DFSS
• 21.3.7. Guides for the initial Sampling Method
  • 21.3.7.1. Relation between the number of sampling points and the optimization results
  • 21.3.7.2. Global Optimization Problem
  • 21.3.7.3. Non-Feasible region due to the failure of analysis
  • 21.3.7.4. Safeguard to overcome the failure of analysis during SAO
  • 21.3.7.5. DOE Selection for Meta-Model
  • 21.3.7.6. Meta-Model Selection
• 21.3.8. Guides for Design Study
  • 21.3.8.1. Application of Design Cost
  • 21.3.8.2. Basic Concept of Effect Analysis
  • 21.3.8.3. Design Variable Screening
• 21.3.9. Guides for Reliability Analysis
  • 21.3.9.1. Monte-Carlo Simulation Process
  • 21.3.9.2. Interpretation of Monte-Carlo Simulation Results
  • 21.3.9.3. SAO based Hybrid Method Process
  • 21.3.9.4. Interpretation of SAO based Hybrid Method Results
  • 21.3.9.5. Multiple Performance Indexes
  • 21.3.9.6. Guides for Reliability Analysis Method Selection