FDS Available Versions:
version 6.9.1 / version 6.8
Available Versions:
version 6.9.1 / version 6.8
Fire Dynamics Simulator (FDS) is a computational fluid dynamics (CFD) model designed to simulate fire-driven fluid flows. FDS numerically solves the Navier-Stokes equations to model low-speed, thermally-driven flows with a focus on smoke and heat transport from fires. It is commonly used in simulations for designing smoke management systems, evaluating sprinkler and detector activation, and fire reconstructions.
With Inductiva, you can speed up your FDS simulations by sending them to Cloud machines with hundreds of cores and terabytes of disk space.
How to Run FDS on the Cloud
Running your FDS simulations on the Cloud is easy. All you need is to create a short Python script that points Inductiva to the simulation artifacts you have on your computer, and we will take it from there.
On the right, we show how to use the Inductiva API to send a FDS simulation to a 180 vCPU machine (c3d-standard-180) hosted on Google Cloud (GCP).
You can copy paste this Python script, adapt it to your own case, and specify the FDS version you want to run. Your simulation will start right away, without waiting in a queue.
"""FDS example."""
import inductiva
# Allocate Google cloud machine
cloud_machine = inductiva.resources.MachineGroup( \
provider="GCP",
machine_type="c3d-highcpu-180")
# Initialize the Simulator
fds = inductiva.simulators.FDS()
# Run simulation with config files in the input directory
task = fds.run( \
input_dir="path/to/my/fds/files",
sim_config_filename="my_config_file.fds",
on=cloud_machine)
# Wait for the simulation to finish and download the results
task.wait()
cloud_machine.terminate()
task.download_outputs()
We've got 22 simulators ready for you to explore.
Just one click away from running your favorite open-source simulators on the cloud and at scale!
Why not give it a try? Explore our example codes and discover everything our API can offer.
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