A5061972842- Fluid Dynamics and Vibration Analysis
- Model Reduction and Neural Networks
- Structural Health Monitoring Techniques
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Optimal Experimental Design Methods
- Fluid Dynamics and Turbulent Flows
- Wind and Air Flow Studies
Harbin Institute of Technology
2024
Ministry of Industry and Information Technology
2024
Beijing University of Technology
2012
Modeling and control are primary domains in bridge wind engineering. The natural field characteristics (e.g., non-stationary, non-uniform, spatial-temporal changing characteristics) the wind-bridge interaction processes physically complex exhibit strong nonlinearity. lack of analyzing these physical based on first principles makes it difficult for traditional modeling methods to accurately characterize or wind-induced vibration bridges. Data-driven automatic is a new expansion direction...
This paper introduces an intelligent identification method for self-excited aerodynamic equations. The is based on advanced sparse recognition technology and equipped with a new sampling strategy designed weak nonlinear dynamic systems limit cycle characteristics. Considering the complexity of experiment condition difficult priori selection hyperparameters, information criteria ensemble learning proposed to derive global optimal model. first validated by simulated data obtained from some...