Development of modular and reusable AI models for fast predicting fire behaviour of steel columns in structural systems More >

Edge computing-oriented model optimization for synchronous acquisition of key physical parameters governing building collapses in fire More >

Real-time prediction of axial force in concrete-filled steel tubular columns under fire conditions using modular artificial intelligence techniques More >

An Experiment on a Real Building with Truss Roof to Validate Real-Time Early-Warning System for Fire-Induced Collapse More >

Development of High-Temperature Resistant Inclinometers for Structural Displacement Acquisition of the Buildings Subjected to Fire More >

Machine learning-driven real-time identification of large-space building fires and forecast of temperature development More >

Graph recurrent neural networks-integrated real-time prediction of key displacements for fire-induced collapse early warning of steel frames More >

Collapse modes and mechanisms of planar multi-story large-span steel frames under fire More >