Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

AI-empowered Hybrid Simulation: A Next-generation Digital Framework for Fire-resilient Modern Buildings

Project description

Smarter fire safety design for modern buildings

Building fires expose serious gaps in fire safety assessment methods, particularly for modern buildings using new materials and complex structural systems. While current design methods depend on prescriptive criteria and conventional fire experiments, these methodologies fall short of reproducing fire dynamics in the actual world. Supported by the Marie Skłodowska-Curie Actions programme, the HiFire project will develop an AI-powered hybrid simulation framework to improve how the fire resilience of modern buildings is assessed and designed. The integration of selective physical fire experiments along with a system-based digital twin, complemented by modular AI tools, will facilitate quicker, more accurate and scalable fire dynamics analysis of components and entire buildings in Europe.

Objective

Recent major building fire accidents in Europe highlight the urgent need for reliable methods to assess the fire resilience of modern buildings, especially as innovative materials and structural systems are increasingly adopted. EU-funded initiatives, notably COST Action TU0904 , have already highlighted the limitations of prescriptive codes derived from standard fire tests, stressing the urgent need for performance-based approaches in modern building fire safety design.
This fellowship addresses these shortcomings by developing HiFire, an innovative AI-empowered hybrid simulation framework for fire-resilient design of modern buildings. The project pursues three main objectives: (1) to establish a distributed hybrid simulation platform that couples physical fire tests on critical components with a system-level synchronised virtual model; (2) to develop modular AI models that enhance simulation efficiency by integrating them into the virtual model; and (3) to deliver a user-friendly digital platform to support end users in fire safety design of modern complex buildings and demonstrate it via a modern building in UK. By combining localised physical tests with a global virtual model, and embedding modular AI for efficient scale bridging, the framework will enable realistic, scalable, and time-efficient fire analysis from component to system level.
The fellowship is carefully designed to align the applicant’s expertise with the internationally recognised strengths of University College London in fire safety engineering, structural modelling, and artificial intelligence. It will foster two-way knowledge transfer, equip the researcher with advanced skills in hybrid simulation and AI, and consolidate their independence as an emerging leader in structural fire engineering. Successful completion will enhance European scientific excellence, accelerate safe adoption of sustainable construction practices, and position Europe at the forefront of intelligent fire safety design.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

See all projects funded under this funding scheme

Call for proposal

(opens in new window) HORIZON-MSCA-2025-PF

See all projects funded under this call

Coordinator

UNIVERSITY COLLEGE LONDON
Net EU contribution
€ 260 347,92
Address
GOWER STREET
WC1E 6BT London
United Kingdom
Region
London Inner London — West Camden and City of London
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data