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DEM Part 2 #Discrete element modeling
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Highlights some potential Discrete Element Modelling (DEM) applications in Civil Engineering. Underscores the advantages of DEM over Finite Element Modelling. Also explains why DEM modeling is computationally expensive.
#DEM
#Equipment geometry
These interactions are at the heart of the DEM implementation, and they’re captured through different user-specified material properties. #user defined materials
Multiple particle types with different properties (shape and size distribution, density, Young’s Modulus, Poisson’s ratio, adhesion, thermal conductivity, specific energy for breakage, etc.), can be easily specified to capture the unique complexities of the system under investigation. There are several models that can be used to capture material behavior. The most common model is the Hertz Mindlin Model.
#Hertz Mindlin Model
see more
#DEM
#Equipment geometry
These interactions are at the heart of the DEM implementation, and they’re captured through different user-specified material properties. #user defined materials
Multiple particle types with different properties (shape and size distribution, density, Young’s Modulus, Poisson’s ratio, adhesion, thermal conductivity, specific energy for breakage, etc.), can be easily specified to capture the unique complexities of the system under investigation. There are several models that can be used to capture material behavior. The most common model is the Hertz Mindlin Model.
#Hertz Mindlin Model
see more
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