A5050898344- Numerical methods in engineering
- Composite Structure Analysis and Optimization
- Fatigue and fracture mechanics
- Advanced Numerical Methods in Computational Mathematics
- Structural Health Monitoring Techniques
- Non-Destructive Testing Techniques
- Electromagnetic Simulation and Numerical Methods
- Probabilistic and Robust Engineering Design
- Gear and Bearing Dynamics Analysis
- Dam Engineering and Safety
- Heat Transfer and Optimization
- Topology Optimization in Engineering
- Machine Fault Diagnosis Techniques
- Model Reduction and Neural Networks
- Concrete Corrosion and Durability
- Infrastructure Maintenance and Monitoring
- Antenna Design and Optimization
- Reliability and Maintenance Optimization
- Mechanical Behavior of Composites
- Mechanical stress and fatigue analysis
- Tribology and Lubrication Engineering
- Electromagnetic Compatibility and Measurements
- Silicon Carbide Semiconductor Technologies
- Composite Material Mechanics
- Plant tissue culture and regeneration
Hebei University of Technology
2018-2025
Nanjing Agricultural University
2025
Sichuan University
2025
China Electronics Technology Group Corporation
2021-2024
China University of Mining and Technology
2015-2018
Hunan University
2012-2014
Structural health monitoring (SHM) has been recognized as a useful tool for safety management and risk reduction of offshore wind farms. In complex environment, jacket structures turbines are prone to damages due corrosion fatigue. Effective SHM on can substantially reduce their operation costs. This work reviews the latest progress structures. The achievements in structural damage identification, location, quantification, remaining life (RUL) estimation respectively introduced detail,...
The challenges posed by climate change have had a crucial impact on global food security, with crop yields negatively affected abiotic and biotic stresses. Consequently, the identification of stress-responsive genes (SRGs) in crops is essential for augmenting their resilience. This study presents computational model utilizing machine learning techniques to predict Chinese cabbage that respond four stresses: cold, heat, drought, salt. To construct this model, data from relevant studies...
Programmable ion migration in artificial channels constructed from two-dimensional (2D) materials represents a significant advancement the development of bioinspired and technologies. Here, we achieve programmable cation migration...