Treating Curvilinear and Moving Surfaces in a Cartesian Framework

One of the main disadvantages of the use of a marker and cell approach as opposed to the use of a boundary-fitted coordinate approach is the fact that curvilinear walls cannot be represented precisely. To date, the ELMMC method has made use of rectangular cells to represent curved solid boundaries, and in the process of doing so, wall effects have largely been approximated. Methods that rely on a curvilinear grid mapping approach, however, are not flexible enough to handle wave breaking and large-scale solid motion. In order to avoid grid skewness and other sources of error, every time the domain shape changes, the grid mapping has to be redone, and the mapping metrics and Jacobian have to be recalculated. These calculations are very costly in a transient solution, and the interpolations necessitated by the continually changing grid can introduce undesirable errors where the solution is most highly sought.

The idea then arose that if free surfaces undergoing severe deformations could be so well handled with surface markers, then surely solid walls could be handled in a similar fashion! This has lead the SMU team to introduce "boundary markers" to represent solid boundaries, both stationary and moving. The concept of boundary markers builds on the successful handling of free surfaces with surface markers, and preserves the important capabilities of the original method in handling severely contorted free surfaces. Velocity and pressure boundary conditions are prescribed accurately on solid boundaries by ensuring that these conditions are satisfied on the surface of a given boundary as opposed to on the center of the cells that make up the boundary. Under the current NSF grant, a proof of concept has been successfully completed by investigating well known flows, such as flow around a cylinder and flow around a NACA 0018 hydrofoil. It has been shown that the new method can successfully handle the difficult task of predicting the separation point around a bluff body, providing accurate results and giving confidence in the method's success.


An example simulation for flow around a cylinder

As fundamental a fluid dynamics problem as flow around a cylinder is, it remains an important test case for demonstrating the accuracy of a simulation technique, especially when it comes to the difficult task of predicting the separation point. In the case considered here, the Reynolds number is 1,800 based on the diameter of the cylinder, and hence the flow is laminar. The results are presented in Figure 7. Two animations are provided, one involving the total velocity vectors and the other the pressure contours. Than, two plots showing the corresponding pressure coefficient around the cylinder and the time history of the lift force, respectualy. The vortex shedding behind the cylinder is well simulated by the numerical technique, as evidenced in the two animations. More importantly, the method predicts that the separation point is at 82º (minimum Cp value in last plot in Figure 7), which matches perfectly with the established value for laminar flow! The transient results for the lift force provide an opportunity to check the temporal accuracy of the method by calculating the Strouhal number of shedding. The value calculated from the simulation is St=0.212, which compares very favorably with published results. These basic calculations and comparisons provide confidence in the potential of the new unmapped approach to represent curvilinear boundaries in the context of the Cartesian marker and micro cell technique.


Figure 7: Flow around a cylinder

Animation

Fixed Camera

Velocity Vectors

MPEG
(907 kB)


RM
(5.033 MB)

Pressure Contours MPEG
(907 kB)


RM
(5.033 MB)
{short description of image}
{short description of image}
If you get an error message or need help with '.rm' files, please refer to the help section.



An example simulation of solid body motion induced by hydrodynamic flow

The transport of rigid bodies (e.g., rocks, cars, tree trunks, debris) is essential to the simulation of realistic tsunami scenarios. Surveys of past tsunamis have suggested that the debris generated from the early stages of the wave impact become water-born projectiles, thus increasing dramatically the destructive potential of the wave. Indeed, debris from the first row of houses carried within the wave can proceed to destroy the remainder of the town in its path. Similarly to the methods for treating the free surface and curvilinear solid boundaries, a method has been developed to handle moving boundaries. This capability will be important in the investigations of moving solids carried by tsunamis as well as of scouring effects behind structures submerged by incident and reflected tsunamis. To illustrate the potential of the new method, a simulation is presented for the induced motion of a hinged ellipsoidal foil in response to flow in a horizontal channel (Figure 8). The domain is 10 cm long and 6 cm wide. The foil is 1.8 cm long and 0.6 cm wide, and is hinged 0.2 cm from its upper tip. The flow enters from the left side with a uniform velocity of 8 cm/s and exits on the right. The flow is accelerated from rest at t=0 s to t=1.5 s with the foil held normal to the channel walls. Once released, the foil rotates due to the pressure differences between its front and wake. As the foil moves, a trace of the shedding in its wake is generated as a result of the phase lag between the position of the body and the vortex generation in the flow. The foil does not comply precisely with the fluid motion, but rather interacts with it, both affecting the flow and being affected by it. As expected, the final alignment of the foil in the absence of gravity is parallel to the walls of the channel. This representative simulation provides a proof of concept of the novel unmapped approach. It is anticipated that his enabling capability will prove to be invaluable in the modeling of solidfluid interactions and solid transport over large distances.


Figure 8 Flow around a cylinder

File

Fixed Camera

{short description of image}

MPEG
(907 kB)


RM
(5.033 MB)

If you get an error message or need help with '.rm' files, please refer to the help section.