Analysis of Explosion-Resistant Materials and AI-Based Blast Simulation

This study aims to analyze the properties of blast-resistant materials such as fiber-reinforced concrete and composite materials, and to design a prototype anti-explosion building using artificial intelligence (AI) techniques. The behavior of these materials under various blast wave effects was studied, including the impacts of pressure velocity and temperature. Virtual simulations using artificial intelligence were conducted to identify vulnerabilities in current designs and to compare available materials based on international standards such as ISO 16933, ASTM F2248, and UFC 4-010-01. This website includes a comprehensive technical report containing comparative material tables, graphical visualizations of simulation results, heat maps showing pressure distribution across the structure, and a ready-to-use dataset for future training of artificial intelligence models.