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  1. Jan 1, 2024 · This chapter introduces the use of artificial intelligence (AI) for building fire safety design and a demonstration software of Intelligent Fire Engineering Tool (IFETool). By training massive numerical fire modeling data, this AI tool can resolve the spatiotemporal features and hidden correlations in transient fire developments, so it can facilitate the performance-based design and review ...

  2. Dec 1, 2022 · It can monitor the overall safety level of the design schemes and minimize the design revisions caused by fire safety issues in the later design stage. In the future, the proposed IFETool will continuously be upgraded to include more modules for different building types, such as underground spaces and tunnels.

  3. Jan 26, 2024 · The use of AI can further free fire engineers from repetitive designs and allow them to conduct more accurate and customized design to further improve the building fire safety and reducing the construction codes, rather than blindly following the code and regulations, defined largely by intuition (if not randomly) a hundred years ago.

  4. May 27, 2024 · Artificial Intelligence is playing an increasingly important role in fire safety and investigation. From predicting flashovers to reconstructing the sequence of events leading up to a fire, AI is transforming the way we approach fire prevention and investigation. While AI is still under development, its potential to revolutionize fire safety is ...

  5. Furthermore, three novel concepts for applying AI in building fire safety. are proposed: (1) AI-driven fire engineering design to enhance structural fire safety, (2) the building-fire Digital Twin ...

  6. Jun 28, 2022 · Finally, three new concepts of applying AI in building fire safety are proposed, (1) the AI-based fire engineering design to improve the structure fire safety, (2) the building fire Digital Twin to monitoring the fire risk and development in real time, and (3) the Super Real-time Forecast (SuRF) of the fire evolution. Download chapter PDF.

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  8. Nov 1, 2021 · The performance-based design (PBD) has been widely adopted for building fire safety over the last three decades, but it requires a laborious and costly process of design and approval. This work presents a smart framework for fire-engineering PBD to predict the smoke motion and the Available Safe Egress Time (ASET) in the atrium by Artificial Intelligence (AI).

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