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1. www.sciencedirect.com › science › articleSmart building fire safety design driven by artificial ...

   www.sciencedirect.com › science › article

   Jan 1, 2024 · AI model construction is the pioneering work of smart fire safety design. This section introduces the preparation of the numerical fire database and development of the deep learning networks, which aims to provide different engineering analyses for building fire safety, as shown in Fig. 5.3. Figure 5.3.

2. link.springer.com › chapter › 10Artificial Intelligence Powered Building Fire Safety Design ...

   link.springer.com › chapter › 10

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   Jan 26, 2024 · Despite these advancements, it is noteworthy that there has been a lack of application of AI methods in fire engineering drawings (Fig. 2).This presents a significant gap in the adoption of AI-based design solutions, which could potentially result in missed opportunities for optimizing fire safety measures in building designs.

3. www.researchgate.net › publication › 384434854Applications of artificial intelligence in enhancing building ...

   www.researchgate.net › publication › 384434854

   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 ...

4. www.sciencedirect.com › science › articleArtificial Intelligence tool for fire safety design (IFETool ...

   www.sciencedirect.com › science › article

   Dec 1, 2022 · The prescriptive building fire safety design approach by adopting regulations and codes has been traditionally adopted around the world [[1], [2], [3]].They are implemented conveniently by setting minimum safety requirements and provisions, so they are flexible to satisfy the requirements of users, including architects, consultants, and clients.

5. ijsra.net › sites › defaultApplications of artificial intelligence in enhancing building ...

   ijsra.net › sites › default

   Applications of AI in Building Fire Safety. AI and big data hold significant potential for enhancing building fire safety, spanning the fire engineering design stage, daily fire-safety management, and smart firefighting during actual fire events. This section explores how these technologies can revolutionize each phase.

6. link.springer.com › chapter › 10Perspectives of Using Artificial Intelligence in Building ...

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   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.

7. People also ask

   Is Ai transforming building fire safety design?

   • Emerging innovative architectural designs and new material inventions continue challenging building fire safety and calling for new design approaches. This chapter reviews the conventional approaches in building fire safety design and the latest smart design driven by Artificial Intelligence (AI) technologies.

   Artificial Intelligence Powered Building Fire Safety Design Analysis

   link.springer.com/chapter/10.1007/978-3-031-48161-1_5

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   Can artificial intelligence be used for building fire safety design?

   • However, high-fidelity fire simulation is costly and difficult to analyze. This chapter introduces the use of artificial intelligence (AI) for building fire safety design and a demonstration software of Intelligent Fire Engineering Tool (IFETool).

   Smart building fire safety design driven by artificial intelligence

   www.sciencedirect.com/science/article/pii/B9780128240731000113

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   Can AI improve fire safety?

   • 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.

   Artificial Intelligence Powered Building Fire Safety Design Analysis

   link.springer.com/chapter/10.1007/978-3-031-48161-1_5

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   What is AI model construction?

   • AI model construction is the pioneering work of smart fire safety design. This section introduces the preparation of the numerical fire database and development of the deep learning networks, which aims to provide different engineering analyses for building fire safety, as shown in Fig. 5.3.

   Smart building fire safety design driven by artificial intelligence

   www.sciencedirect.com/science/article/pii/B9780128240731000113

   See all results for this question

   Can AI reshape fire safety design?

   • 1.2. AI-assisted fire design The recent developments of Artificial Intelligence (AI), especially the deep learning algorithm, have shown its potential in reshaping building fire safety design [3,24], structure fire resistance [, , , ], and fire detection and firefighting activities [, , , , ].

   Artificial Intelligence tool for fire safety design (IFETool

   www.sciencedirect.com/science/article/pii/S2214157X22007195

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   Will AI revolutionize fire safety design & analysis?

   • New-generation of fire engineers will be used to work with AI tools during their university education, training and daily practices, just like current engineers who are all good at computer and CAD. In short, AI will lead a revolution in building fire safety design and analysis, achieving safer and more cost-effective solutions.

   Artificial Intelligence Powered Building Fire Safety Design Analysis

   link.springer.com/chapter/10.1007/978-3-031-48161-1_5

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8. www.sciencedirect.com › science › articleSmart performance-based design for building fire safety ...

   www.sciencedirect.com › science › article

   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).