A fundamental stage in FDS to achieve a good scalability regards the use of MPI (also named multicore) parallelization method. This method, as we highlighted in an old post, is based on the MESH definition in the input FDS file. To achieve a good scalability it is fundamental you split Read more
Generating obstruction geometries for FDS is faster and easier with the help of the powerful 3D editing tool BlenderFDS. BlenderFDS is an opensource software that works as an user interface for FDS. You can download Blender and BlenderFDS directly from this website. Blender FDS gives you the tools to generate Read more
When you are running a FDS model, a common problem is how to tailor the computational power and memory (RAM) allocated to your simulation. It is important to monitor the vCPU and RAM in the first hours of the simulation. The offered services by the Cloud HPC allows you, not Read more
CFD FEA Service offers the use of a Cloud HPC service to run your scripts for CFD, FEM and other simulations. The CloudHPC system (High Performance Computing) allows you to rent the computational capacity made available, in order to run large and complex engineering analyses in FDS. The offered service Read more
The Heat Release Rate (HRR) is a fundamental parameter to describe the fire hazard. A simplified method to estimate HRR is analyzed in order to rapidly assess a fire hazard in FDS. Generally, in fire engineering, a the traditional fire development curve approximate the behavior of the HRR. The Heat Read more
To speed up complex fire simulations in FDS it’s important to achieve a good scalability and equilibrate the hardware resources. Fire simulations commonly leads to long calculation time due to the large number of physical and chemical processes involved. In complex fire simulation the available hardware carries out a high Read more