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In a numerical example from geotechnical engineering applications, we illustrate the practical application of our enhanced Material Point and DDMP Methods by simulating a cone penetration.
We further systematically compared two methods by simulating data 50 times.
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We test our method by simulating the motion of a cylinder moving in a viscous fluid both under forced oscillation, and when tethered to a spring.
We demonstrate the method by simulating data, with and without noise, from a number of biological models described by ordinary differential equations and then estimate the parameters via the proposed technique.
We study the accuracy, efficiency and robustness of our method by simulating Taylor Couette flow, flow induced by a relaxing balloon, flow past single and multiple cylinders, and flow around a flapping wing.
Then the effects of the relative thickness of airfoil on aerodynamic performance are explored, using the above numerical method, by simulating flows around airfoils of different relative thicknesses (12%, 14 %, 16 %, 18, as well as different locations of the maximum relative thickness (x/c = 22%, 26%, 30%, 34%), as a lowellynolds number of 5 × 105.
Genetic algorithm (GA) is a method by simulating Darwin's theory of natural evolution to search for the optimal solution.
We have tested the robustness of the method by simulating tensile tests and calculating Taylor factors for polycrystals of varying textures.
We test our method by simulating the evolution of overlapping genes of different types and under various selective regimes.
We test the method by simulating the evolution of overlapping genes of different types as well as under diverse evolutionary scenarios.
It is therefore possible to improve the method by simulating directly the frequencies N through (5).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com