From basic theory to advanced applications, this helps readers achieve more efficient and reliable design optimization in complex systems through rich case studies and practical technical guidance, presenting the fundamental theories and methods of Uncertainty-Based Multidisciplinary Design and Optimization.
From basic theory to advanced applications, this helps readers achieve more efficient and reliable design optimization in complex systems through rich case studies and practical technical guidance, presenting the fundamental theories and methods of Uncertainty-Based Multidisciplinary Design and Optimization.
Debiao Meng is an associate professor in the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China, China. Shun-Peng Zhu is a professor in the School of Mechanical and Electrical Engineering at the University of Electronic Science and Technology of China, China.
Inhaltsangabe
1. Introduction. 2. Basic Knowledge of UBMDO. 3. Approximate Method. 4. Uncertainty Analysis Method. 5. Deterministic MDO Method. 6. UBMDO Method. 7. Application of Advanced UBMDO in Aviation Equipment. 8. Application of MDO Considering Random and Interval Uncertainty in Energy Equipment. 9. Application of Adaptive Surrogate Model-assisted UBMDO in Propulsion Equipment. 10. The Development Prospect of UBMDO.
1. Introduction. 2. Basic Knowledge of UBMDO. 3. Approximate Method. 4. Uncertainty Analysis Method. 5. Deterministic MDO Method. 6. UBMDO Method. 7. Application of Advanced UBMDO in Aviation Equipment. 8. Application of MDO Considering Random and Interval Uncertainty in Energy Equipment. 9. Application of Adaptive Surrogate Model-assisted UBMDO in Propulsion Equipment. 10. The Development Prospect of UBMDO.
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