A hierarchical kriging approach for multi-fidelity optimization of automotive crashworthiness problems

Keyphrases

• Optimization Scheme 100%
• Multi-fidelity Optimization 100%
• Low-fidelity Model 100%
• Multi-fidelity 100%
• Kriging Approach 100%
• Automotive Crashworthiness 100%
• Hierarchical Kriging 100%
• Highly Nonlinear 50%
• Order of Accuracy 50%
• Optimization Problem 50%
• Model Order Reduction 50%
• Non-intrusive Reduced Order Model 50%
• Computational Effort 50%
• Evaluation Model 50%
• Design Space 50%
• Computational Performance 50%
• Sample Selection 50%
• Crash 50%
• Computational Results 50%
• Frontal Impact 50%
• Latin Hypercube Sampling 50%
• Crashworthiness 50%
• Shape Optimization 50%
• Innovative Technique 50%
• Size Optimization 50%
• Expected Improvement 50%
• Infill Criteria 50%
• Lateral Impact 50%
• Variable Fidelity 50%
• Projection-based 50%
• Space Boundary 50%

Engineering

• Automotives 100%
• Multi-Fidelity 100%
• Model Fidelity 50%
• Optimisation Problem 25%
• Simplifies 25%
• Computational Effort 25%
• Design Space 25%
• Shape Optimization Problem 25%
• Latin-Hypercube Sampling 25%
• Size Optimization 25%
• Acceptable Level 25%

Computer Science

• Multi-Fidelity 100%
• Optimization Problem 50%
• Evaluation Models 25%
• Application Problem 25%
• Hypercube 25%
• Presented Example 25%
• Computational Effort 25%
• Acceptable Level 25%