Wind Loads

Wind Load Computation on Complex geometry

The strength of our Immersed Boundary technique in treating complex 3D model characterized by a wide range of geometrical scales.

An approximate computation (3% error) of forces acting on the antenna was computed from scratch in a matter of minutes thanks to the quick generation permissible by our proprietary non conformal grid technique.

Outdoor Flows

Risk Analysis Contaminant in urban Area

This video shows the transport and the diffusion of a generic contaminant in the city of Milan.
We simulated a massive release of a contaminant that took 20 seconds. We then followed the contaminant dispersion carried out by a north wind of 3 meters per seconds, for 380 more seconds. The orange and the pale blue clouds show the concentrations of 10 milligrams and 1 microgram per cubic meter respectively

Risk Analysis Contaminant on oil & Gas platform

This video shows the transport and the diffusion of a generic contaminant on an oil rig.From this complex geometry the computational mesh of approximately 3M cells gas generated in  approximately 30 minutes (man hour and cpu time)

Risk Analysis on Methane leakage

Simulation of an accident in an industrial site: a supersonic jet of methane comes out of a broken high pressure pipe

Wind comfort

This video shows the most comfortable stands of the Allianz Arena in Munich.
The transparent blue cloud shows the 3D space where the air velocity is lower than 0.2 meters per seconds. The simulated external wind speed was 10 meters per second (36 km/h).

Indoor Flows

Air Quality Simulation

The video shows a 4-hour transient of air renewal in a large room. The red cloud refers to high concentrations of stale air (80-100%), the light blue cloud refers to low concentrations (0-20%). The two sections also show the stale air concentration colour maps with isolines. The simulation helps determining the time needed to renew the air, and to see where the air tends to stagnate

Air Quality Simulation

We placed a ventilator in the living room (blue box). Fresh new air enters the room from the above flowing upwards. The air then re-enters the ventilator from below. It is difficult to evaluate the efficiency of a ventilation system. Time is the missing information. How much time is needed to renew the air in the apartment ? Are there areas of the house where the stale air is tending to stagnate? We developed a post-processing visualization feature that responds to these needs. This video shows the same transient as Video 1 – by using 3 isosurfaces of the fresh air concentration, red, green and blue, respectively for high, medium and low concentration levels. The time lapse is a few hours.

Air Quality Simulation

This video shows the time that the ventilation system takes to change 99% of the air present in an open space office. It can be used to assess the effectiveness of the ventilation design.
We used the “contaminant transport” feature to distribute uniformly an initial concentration of coloured air. The concentration gets lower and lower over time, starting red and then becoming orange, green, pale blue, blue until, at last, it disappears.
The simulated transient lasted 2000 seconds of real time, a bit more than half an hour. The mesh is made of 2M cells, and the calculation was carried out in 50 minutes CPUtime.

Air Quality Simulation

This video shows the ventilation in an open space office. The horizontal section shows the colour map of the air velocity, between 0 (blue) and 1 (red) meter per second. The section is then scrolled up from the floor level till it reaches the ceiling where the air blowers are located. The 3D model used was an IFC file.

Risk Analysis, office contaminant

This video shows the time lapse of the dispersion of a contaminant in an open space office.
The contaminant is generated by 2 sources that release 1 gram per second of a possibly toxic gas each, for 3 minutes. The contaminant leaves eventually the office via the air exits. The transient lasts 10 minutes.