Research Areas
Computational Mechanics
We focus on developing and applying advanced numerical methods to solve complex engineering problems:
- Finite Element Method (FEM): For continuum mechanics analysis
- Discrete Element Method (DEM): For granular materials and discontinuous media analysis
- Material Point Method (MPM): For large deformation and multiphase flow problems
- Multiscale Modeling: Bridging microscopic and macroscopic scales
Granular Materials Modeling
Based on advanced image processing and numerical modeling techniques:
- CT Image Reconstruction: Reconstructing real particle shapes from medical or industrial CT images
- Shape Characterization: Developing new particle shape descriptors and quantification methods
- Contact Detection Algorithms: Efficient contact detection algorithms for irregular particles
- Multiscale Modeling: Cross-scale modeling from particle scale to macroscopic material properties
Machine Learning Applications
Applying artificial intelligence technologies to civil engineering:
- Material Parameter Identification: Deep learning-based material constitutive parameter inversion
- Structural Health Monitoring: Computer vision-based structural damage detection
- Predictive Modeling: Machine learning-based engineering performance prediction
- Optimization Design: Intelligent optimization algorithms in engineering design
High-Performance Computing
Developing efficient parallel computing algorithms and software:
- GPU-Accelerated Computing: Leveraging GPU parallel computing power to accelerate numerical simulations
- Distributed Computing: Large-scale parallel computing framework development
- Algorithm Optimization: Performance optimization and acceleration of numerical algorithms
- Software Development: Development and maintenance of open-source scientific computing software
Infrastructure Health Monitoring
Based on modern sensing technologies and data analysis methods:
- Computer Vision Detection: Image and video-based structural inspection technologies
- Sensor Networks: Multi-sensor fusion monitoring systems
- Data Analysis: Big data analysis applications in infrastructure monitoring
- Warning Systems: Intelligent warning and decision support systems
This page is continuously being updated, more detailed information will be published soon...