Concrete, as the most widely used construction material, is inextricably connected with
human development. Despite conceptual and methodological progress in concrete science …

Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

Ultra-high performance concrete (UHPC) is a novel concrete class characterized by a
compressive strength of more than 150 MPa. One of the most significant drawbacks of …

The highly dense structure which causes the risk of explosive spalling is one of the major
limitations of using ultra high-performance concrete (UHPC). This study developed a …

This paper adopts eXplainable Artificial Intelligence (XAI) to identify the key factors
influencing fire-induced spalling of concrete and to extract new insights into the …

One of the key challenges in fully embracing machine learning (ML) in civil and
environmental engineering revolves around the need for coding (or programming) …

Accessible and practical framework for machine learning applications and solutions for civil
and environmental engineers This textbook introduces engineers and engineering students …

Understanding and predicting process–structure–property–performance relationships for
concrete materials is key to designing resilient and sustainable infrastructure. While …

The role of machine learning (ML) continues to rise in the structural fire engineering area.
Noting the widespread of supervised ML approaches, such methods are being heavily …

This paper presents a comprehensive statistical investigation of the largest database on fire-
induced spalling of concrete collected to date. In total, 1069 fire tests were collected and …