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.

• 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.

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.

• 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.

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.

• 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.