The animation shows the three stages of the artery simulation: stretching, uniform blood pressure rise, and several pressure cycles.

Since the time of Leonardo Da Vinci, it has been recognized that the sinuses behind the aortic valve leaflets produce vortices that aid in closure with minimal trans-valvular pressure.

The animation shows particle tracing in a 2-D fluid-structure interaction problem. A periodic normal traction load is applied to the left boundary of the model. This load forces the fluid to flow over the flexible structure. Since the load is periodic, the fluid- structure analysis is unsteady (transient).

The need to study the coupled behavior between fluids and structures in the presence of heat effects arises in many applications, including heat exchangers, disc brake cooling, components mounted on printed circuit boards, and coolant pipes in power plants, among others.

Roof crush laboratory tests (simulating rollover car behavior) usually take 10 to 30 seconds to crush the car to the required maximum displacement of the crushing panel. Therefore, it is clearly an almost static or quasi-static problem. It is apparent that a natural way to obtain a solution is to use an implicit/static approach to solve roof crush problems.

In a previous Brief, we presented some structural analysis results of the superconducting coil of the Wendelstein 7-X, the world’s largest plasma fusion experimental device of the stellarator family.

Each time a neutrophil (cell) pass through the human lungs, it typically crosses over 50 capillary segments. The transit time of the neutrophil depends on its deformability, surface tension, pressure drop across the capillary, and the geometry of the capillary.

In civil engineering design and analysis, the effects of fluids on the motion of structures can be very important. This is particularly true in seismic analysis of liquid storage tanks. In this class of problems, the fluid and tank motions are not large, and the viscosity of the fluid usually can be neglected. The important fluid characteristics that need to be included are the fluid density and compressibility, the bulk fluid motions and the pressures transmitted to the structure (both static and dynamic). For these problems, the potential-based fluid elements of ADINA are the most efficient way to model the fluid. The elements have only one degree of freedom per node, the fluid potential degree of freedom. Keeping the number of degrees of freedom down is crucial, because the model of the tank structure itself can be large. The potential-based fluid formulation is linear. Therefore, when the potential-based fluid elements are included, they do not cause any additional convergence problems. Figure 1: Fluid-filled tank using Potential-Based Fluid Elements in ADINA Some analysis experiences on these problems have been obtained by SC Solutions for ExxonMobil’s proprietary modular LNG storage tank, which was subjected to an earthquake. The results below are shown