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144 - Design fire generator with Greg Baker

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Manage episode 407885653 series 2939491
Content provided by Wojciech Wegrzynski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wojciech Wegrzynski or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Imagine if we had a tool that we could use to design a design fire. Instead of simply assuming fire growth characteristics by slapping the alpha-t2 function, use a tool that could tell us which items in a compartment burn and what the characteristics of that fire are. I would say this dream is shared among many fire safety engineers - I think we can all agree that we could use such a tool.
Today's guest, Dr Greg Baker, has shared this dream and built a tool like this within his PhD at the University of Canterbury. The skeleton was a zone model, and the tool developed has played with it well. Actually, feel free to try it out in here.
In the episode, we talk about how Greg built up this tool and how it decides on the growth, plateau and decay of the fire. We also discuss how such a tool may be critical in a probabilistic approach to fire safety engineering and general performance-based design. Who knows, perhaps in the near future, such an approach will also help us run our CFDs.
If you enjoyed this, you perhaps would like to read more:

And a bonus:

----
The Fire Science Show is produced by the Fire Science Media in collaboration with OFR Consultants. Thank you to the podcast sponsor for their continuous support towards our mission.

  continue reading

Chapters

1. Probabilistic Design Fires in Fire Science (00:00:00)

2. Probabilistic Fire Design Model Development (00:13:29)

3. Fire Science Research and Data Collection (00:22:26)

4. Flux Time Product Methodology Overview (00:34:42)

5. Design Fire Methods and Simulations (00:39:13)

6. Fire Safety Engineering Crafting Fires (00:52:36)

183 episodes

Artwork
iconShare
 
Manage episode 407885653 series 2939491
Content provided by Wojciech Wegrzynski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Wojciech Wegrzynski or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Imagine if we had a tool that we could use to design a design fire. Instead of simply assuming fire growth characteristics by slapping the alpha-t2 function, use a tool that could tell us which items in a compartment burn and what the characteristics of that fire are. I would say this dream is shared among many fire safety engineers - I think we can all agree that we could use such a tool.
Today's guest, Dr Greg Baker, has shared this dream and built a tool like this within his PhD at the University of Canterbury. The skeleton was a zone model, and the tool developed has played with it well. Actually, feel free to try it out in here.
In the episode, we talk about how Greg built up this tool and how it decides on the growth, plateau and decay of the fire. We also discuss how such a tool may be critical in a probabilistic approach to fire safety engineering and general performance-based design. Who knows, perhaps in the near future, such an approach will also help us run our CFDs.
If you enjoyed this, you perhaps would like to read more:

And a bonus:

----
The Fire Science Show is produced by the Fire Science Media in collaboration with OFR Consultants. Thank you to the podcast sponsor for their continuous support towards our mission.

  continue reading

Chapters

1. Probabilistic Design Fires in Fire Science (00:00:00)

2. Probabilistic Fire Design Model Development (00:13:29)

3. Fire Science Research and Data Collection (00:22:26)

4. Flux Time Product Methodology Overview (00:34:42)

5. Design Fire Methods and Simulations (00:39:13)

6. Fire Safety Engineering Crafting Fires (00:52:36)

183 episodes

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