A5069745145- Turbomachinery Performance and Optimization
- Electrochemical sensors and biosensors
- Carbon Dioxide Capture Technologies
- Electrochemical Analysis and Applications
- Environmental Impact and Sustainability
- Advanced Multi-Objective Optimization Algorithms
- Engineering Applied Research
- Model Reduction and Neural Networks
- Probabilistic and Robust Engineering Design
- Advanced battery technologies research
- Sustainability and Ecological Systems Analysis
Harbin Engineering University
2008-2024
Huazhong University of Science and Technology
2013
The application of inverse design in engineering is constrained by uncertainty over when to cease calculations owing solution fluctuations and suboptimal aerodynamic parameter distribution. proposed method for optimization incorporates active subspace assistance effectively address these significant limitations. optimal load distribution achieved the integration sparse polynomial approximation genetic algorithm. Furthermore, employed solve control zone static pressure/load calculation...
The limited adoption of inverse design in engineering can be attributed to the challenges associated with predetermining optimal load distribution and failure consider aerodynamic performance under various operational conditions. sparse polynomial combined non-dominated sorting genetic algorithm-Ⅲ (NSGA3) is employed this study achieve multiple operating conditions, which utilized for design. introduction proper orthogonal decomposition (POD) simultaneously aims reduce dimensionality static...