Concrete is the most widely used material in civil engineering, and understanding its behavior is essential for ensuring the durability of structures. This is particularly critical for sensitive applications such as nuclear reactor containment structures, tunnels, bridges, and similar infrastructure. Over the past decade, numerous models have been developed to study concrete, conceptualizing it as a porous multiphase material composed of three distinct phases: a solid phase, a liquid phase, and a gaseous phase. The solid phase includes anhydrous cement grains, aggregates, solid additives, and hydration products such as calcium silicate hydrates (C-S-H) and ettringite. The liquid phase is predominantly water, while the gaseous phase is modeled as a binary mixture of dry air and water vapor, both of which are assumed to behave as ideal gases. This work combines an experimental approach with an image-based mesoscale modeling methodology. Techniques such as X-ray and neutron-based imaging are employed to capture the high-resolution internal structure of concrete. Additionally, a unified mathematical framework is introduced to model concrete's behavior under extreme conditions, integrating mesoscale material properties and numerical simulations performed using finite element analysis with CAST3M. This integrative framework advances the understanding of concrete's behavior at high temperatures, providing valuable insights for the development of more resilient materials and predictive tools to ensure structural safety in critical applications.