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Fully Lagrangian Approach of Three-Phase Systems for Debris Bed Formation | samadii/fluid

5 ViewsJan 3, 2024

💦🌑By integrating MPS, DBM, and DEM, you can create a robust numerical framework that can capture the intricate interactions and behaviors of a three-phase system during debris bed formation. A fully Lagrangian approach for three-phase systems is particularly relevant in applications such as nuclear engineering, geotechnical engineering, and environmental science where the formation of debris beds plays a crucial role. 💧💦Interactions between the solid, liquid, and gas phases are crucial in debris bed formation. For example, the drag force exerted by the fluid on the solid particles, buoyancy effects, and interactions between solid particles themselves play a significant role. 📈 The data used is as follows: ✔️MT2: the mixture of 0.92, 1.95, 3.43, 5.72, and 8.01 mm particles (total 136,319EA, 2.5kg) ✔️Non-spherical particles (Sphericity:0.874, SUS304) ✔️Air flow rate: 70lpm (0, 30, 50, 70, and 90lpm) ✔️CUDA v11.6, ✔️Nvidia RTX 4090 📩Get in touch with us to learn more▶support@metariver.kr #cfd #particles #lagrangian #mps #DBM #simulation #cuda #cae #particle #flow #computationalfluiddynamics #metariver #bubble #fluidmechanics #fluiddynamics #multiphysics #flows #sph #cfddem #simulationsoftware #nvidia #fluidflow #couplings #CFDEMcoupling #simulationmodeloftheday #bubblecolumn #gas #aerodynamics #bubbles #sediment #쿠다 #메타리버테크놀러지 #시뮬레이션 #사마디
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samadii/fluid (CFD)
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particle-based approaches_ CFD vs. DEM (CUDA)
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particle-based approaches_ CFD vs. DEM (CUDA)

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Sloshing Tank Simulation Using MPS (Moving Particle Semi-implicit) Method | samadii/fluid

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Moving Particle Semi-Implicit (MPS) Simulation On GPU | samadii/fluid

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CFD Simulation Of A Tank Sloshing Phenomena With Baffles | samadii/fluid

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Fully Lagrangian Approach of Three-Phase Systems for Debris Bed Formation | samadii/fluid
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Fully Lagrangian Approach of Three-Phase Systems for Debris Bed Formation | samadii/fluid

5 Views