Machine learning tool could speed up fire safety assessments for steel beams

Executive Briefing & Key Highlights

Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a machine learning framework that enables rapid predictions of how protected steel beams respond during a fire, offering engineers a faster way to assess fire safety performance in industrial structures.