Improving the balance between cost and accuracy of computational fluid dynamics solvers by local mesh adaptation has become a topic of increasing interest. Numerical error based adaptation sensors proved to be robust and converge faster than sensors simply based on features of the flow field.
This paper presents limits for stability of projection type schemes when using high order pressure-velocity pairs of same degree. Two high order h/p variational methods encompassing continuous and discontinuous Galerkin formulations are used to explain previously observed lower limits on the time step for projection type schemes to be stable, when h- or p-refinement strategies are considered.
In this paper we consider a numerical approach to reach the equilibrium position of a journal bearing with radial loading. The system consists of an external cylinder surrounding a rotating shaft.
Dendritic spines are thin protrusions that cover the dendritic surface of numerous neurons in the brain and whose function seems to play a key role in neural circuits. The correct segmentation of those structures is difficult due to their small size and the resulting spines can appear incomplete.
The dynamic simulation of mechanical effects has a long history in computer graphics. The classical methods in this field discretize Newton’s second law in a variety of Lagrangian or Eulerian ways, and formulate forces appropriate for each mechanical effect: joints for rigid bodies; stretching, shearing or bending for deformable bodies and pressure, or viscosity for fluids, to mention just a few.
In loosely‐coupled aeroelastic computation, the aerodynamic and elastomechanical models are based on different grids and eventually a simplified structural model, like a shell or stick, is considered. CFD tools are applied over the aerodynamic grid, whereas CSM tools are over the structural one.