Rapid Assessment Tool for Reinforced Concrete Structures Under Explosive Loading

Understanding whether critical infrastructure might sustain minor damage, collapse partially or entirely when exposed to an explosion is critical for effective defence mission planning, safeguarding assets and emergency response. This project aims to develop a fast-running machine learning-enhanced tool for predicting the progressive collapse of multi-storey reinforced concrete structures subjected to blast loading.

The project MSP/26-10 -RAPIDEX is funded under the DFR call.