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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...