The introduction of a regularization length and the adoption of a proper mechanical framework lead to an accurate and predictive methodology for smooth simulations of the FRP-detachment process.
The smoothing (both simulation and experimental) was implemented in the frequency domain using the Fourier transforms of the relevant parameters from the workspace and the Simulink model.
We also apply truncated T-splines to complex geometries to show the smooth surfaces and simulation results under local refinement.
We use smooth particle hydrodynamical simulations (SPH) with chemo-photometric implementation which provide dynamical and morphological information together with the spectral energy distribution (SED) at each evolutionary stage.
During the MD simulations smooth particle mesh Ewald method was used to calculate long range electrostatic interactions.
Initial data for a MD-MC simulation are smooth.
The report here details use of smoothed particle hydrodynamics (SPH) based simulation of fluid flow on models of μPBs derived from X-ray microtomography to predict the hydrodynamic character of the beds as a function of the bed-to-particle diameter ratio over the range 5.2≤Ddp≤15.1.
Variation was measured from coevolutionary simulations on smooth single-peak landscape (e.g. Figure 2H) using ensembles of simulation runs to account for stochastic effects.
Both the conventional J2 flow theory and the Gurson Tvergaard porous plasticity model are used in simulations of smooth and notched tensile specimens, and the numerical results are compared with experimental data.
Stress triaxiality is extracted from the critical element in numerical simulations of smooth tensile tests and used as input in the subsequent unit cell simulations.
