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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.
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.
Dec 1, 2022 · After simulation, the simulation results and fire scenario parameters are used to form a big database (Fig. 3 a) for AI model training. Building and fire design parameters, consisting of the atrium length and height, fire location, size and soot yield, smoke extraction rate, and post-ignition time (or burning duration), were used as the model ...
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 ...
Abstract. Fire modeling plays a crucial role in building fire safety assessments, yet it often incurs significant costs. This research introduces an AI-driven software, the Intelligent Fire Engineering Tool (IFETool), designed to accelerate fire safety evaluations and efficiently determine design constraints.
Jun 13, 2024 · The diffusion model reproduces more flow details of the smoke visibility profiles than GAN, but it takes a longer computational time to render the fire scene. This work demonstrates the potential of leveraging AI technologies in building fire safety design, offering significant cost and time reductions and optimal solution identification.
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.
