[图书][B] Computational fluid dynamics in fire engineering: theory, modelling and practice

GH Yeoh, KK Yuen - 2009 - books.google.com
Fire and combustion presents a significant engineering challenge to mechanical, civil and
dedicated fire engineers, as well as specialists in the process and chemical, safety …

[PDF][PDF] Characterization of fire properties for coupled pyrolysis and combustion simulation and their optimised use

AS Abu-Bakar - 2015 - vuir.vu.edu.au
Performance-based fire safety system design enables fire safety engineers to assess the
performance of buildings and components by taking into account various scenarios of real …

RAI: Rapid, Autonomous and Intelligent machine learning approach to identify fire-vulnerable bridges

M Abedi, MZ Naser - Applied Soft Computing, 2021 - Elsevier
Recent surveys have noted that the majority of bridges continue to serve for a prolonged
period of time (+ 40 years) that far exceeds its intended operational lifespan. Given our …

[PDF][PDF] Segmentation of analysis/design levels for structural fire engineering

N IWANKIW - SiF, 2006 - researchgate.net
Various levels/types of analysis and design methods for structural fire engineering exist,
similar to those in other areas of structural engineering (seismic and wind) and in …

[PDF][PDF] COMPUTATIONAL FIRE ENGINEERING–DO WE HAVE WHAT WE NEED?

ER Galea - Proceedings of the 3rd International Symposium on …, 2004 - fseg.gre.ac.uk
This presentation will attempt to address the issue of whether the engineering design
community has the knowledge, data and tool sets required to undertake advanced …

[HTML][HTML] Dataset on fire resistance analysis of FRP-strengthened concrete beams

PP Bhatt, VKR Kodur, MZ Naser - Data in brief, 2024 - Elsevier
Abstract Machine learning (ML) has emerged as an efficient and feasible technique for
tackling engineering problems. Despite the numerous advantages, the implementation of …

[PDF][PDF] On the Premise of A New Theory for Fire-Induced Spalling of Concrete through eXplainable Artificial Intelligence

M Al-Bashiti, A Ghasemi, A Tapeh… - The 12th International …, 2022 - researchgate.net
This paper presents preliminary results to describe the fire-induced spalling of concrete
using explainable artificial intelligence (XAI). One thousand fire tests were collected from the …

Artificial Intelligence Powered Building Fire Safety Design Analysis

Y Zeng, X Huang - Intelligent Building Fire Safety and Smart Firefighting, 2024 - Springer
Emerging innovative architectural designs and new material inventions continue
challenging building fire safety and calling for new design approaches. This chapter reviews …

The impact of user decision-making in the application of computational compartment fire models

G Baker, M Spearpoint, K Frank, C Wade, S Sazegara - Fire Safety Journal, 2017 - Elsevier
This paper describes a programme of blind modelling and benchmarking experiments that
was part of a larger collaborative research project. The modelling and subsequent …

Observational analysis of fire-induced spalling of concrete through ensemble machine learning and surrogate modeling

MZ Naser - Journal of Materials in Civil Engineering, 2021 - ascelibrary.org
Despite ongoing research efforts, we continue to fall short of arriving at a consistent
representation of fire-induced spalling of concrete. This is often attributed to the complexity …