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In order to do better testing of this method, simulations are made.
To validate and evaluate the performance of the proposed method, simulations are performed with MATLAB.
To verify the effectiveness of the proposed control method, simulations are performed in the presence of external disturbances and inertia uncertainty.
In order to test the accuracy and stability of the material point method, simulations are first validated using experimental data and results of mature numerical models.
DEM (discrete element method) simulations are used to characterize granular rheology and granular phase transition by studying order parameter (OP) dynamics.
Using this method, simulations are performed for several representative physical problems, including an infinite periodic step train, a layered nanocrystal, and a system of quantum dots.
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In this paper, FEM (Finite Element Method) simulations were performed to estimate the corresponding temperature distribution in the vicinity of the sensing element.
Firstly, a series of Discrete Element Method simulations were performed to investigate the evolution of soil arching structures under different conditions with emphasis on the embankment deformation behaviour.
In order to evaluate the power of our identification method, simulations were performed using sequence alignment sets of random sequences, each consisting of 100,000 pairs of around 5,000 bp sequences and including an inversion in each pair.
The FEM (finite element method) simulation was also conducted, and the results show excellent agreement with our analytical solutions.
Boundary element method simulation is used to show how more application-realistic arrays of these devices would behave.
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