SudoDEM: Unleashing the predictive power of the discrete element method on simulation for non-spherical granular particles
Copyright policy )SudoDEM: Unleashing the predictive power of the discrete element method on simulation for non-spherical granular particles
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- South China University of Technology China (People's Republic of)
- State Key Laboratory of Subtropical Building Science China (People's Republic of)
- Hong Kong Polytechnic University China (People's Republic of)
- Hong Kong University of Science and Technology (香港科技大學) China (People's Republic of)
triaxial compression, Open-source, Superellipsoid, granular material, SudoDEM, Gilbert-Johnson-Keerthi algorithm, Non-spherical, Contact in solid mechanics, polyhedron, contact detection algorithm, OpenMP acceleration, Numerical and other methods in solid mechanics, Discrete element, superellipsoid, Granular, discrete element method, Polyhedron, Granularity, Particle shape
triaxial compression, Open-source, Superellipsoid, granular material, SudoDEM, Gilbert-Johnson-Keerthi algorithm, Non-spherical, Contact in solid mechanics, polyhedron, contact detection algorithm, OpenMP acceleration, Numerical and other methods in solid mechanics, Discrete element, superellipsoid, Granular, discrete element method, Polyhedron, Granularity, Particle shape
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