A5088565152- Enhanced Oil Recovery Techniques
- Lattice Boltzmann Simulation Studies
- Structural Health Monitoring Techniques
- Hydrocarbon exploration and reservoir analysis
- Probabilistic and Robust Engineering Design
- Model Reduction and Neural Networks
- Granular flow and fluidized beds
- Mineral Processing and Grinding
- Medical Image Segmentation Techniques
- Concrete Corrosion and Durability
- Epoxy Resin Curing Processes
- Generative Adversarial Networks and Image Synthesis
- Nuclear Engineering Thermal-Hydraulics
- Rock Mechanics and Modeling
- Fluid Dynamics and Turbulent Flows
- Injection Molding Process and Properties
- Fluid Dynamics and Vibration Analysis
- Infrastructure Maintenance and Monitoring
- Composite Material Mechanics
- Hydraulic Fracturing and Reservoir Analysis
- Metallurgy and Material Forming
- Fluid Dynamics Simulations and Interactions
- Adversarial Robustness in Machine Learning
- Advanced Multi-Objective Optimization Algorithms
- Topology Optimization in Engineering
Queen Mary University of London
2024-2025
Swansea University
2020-2024
Nanjing University of Aeronautics and Astronautics
2024
University of Science and Technology Beijing
2013
Abstract The work investigates the applicability of unresolved Computational Fluid Dynamics and Discrete Element Method (CFDDEM) technique based on empirical equations for fluid‐particle coupling. We first carry out a series representative volume element simulations using high‐resolution particle‐resolved Lattice Boltzmann method (LBMDEM) coupled by an Immersed Moving Boundary (IMB) scheme. Then, we compare results obtained both LBMDEM used in CFDDEM with analytical solutions. It is found...
Multifield coupling is frequently encountered and also an active area of research in geotechnical engineering. In this work, a particle-resolved direct numerical simulation (PR-DNS) technique extended to simulate particle-fluid interaction problems involving heat transfer at the grain level. technique, immersed moving boundary (IMB) scheme used couple discrete element method (DEM) lattice Boltzmann (LBM), while recently proposed Dirichlet-type thermal condition adapted account for between...
Purpose Accurate presentation of the rock microstructure is critical to grain-scale analysis deformation and failure in numerical modelling. 3D granite modelling has only been used limited studies with mineral pattern often remaining poorly constructed. In this study, authors developed a new approach for generating 2D models from image by combining heterogeneous material reconstruction method (simulated annealing method) Voronoi tessellation. Design/methodology/approach More specifically,...
The relationships between macroscopic properties and microstructural characteristics are of great significance for natural porous rocks, based on which transport can be directly predicted from measurable pore microstructures. However, the explicit establishment such microstructure-property mappings appears to difficult, due intricacy, stochasticity heterogeneity network systems. In this paper, a data-driven framework is developed explore inherent microstructurepermeability linkage, where...