Structural reliability and risk management are critical in ensuring that concrete structures and infrastructure systems remain safe, functional and economically viable over their intended lifespans.

SPARES combines physics-based modeling with machine learning-driven surrogate models to dramatically reduce the time and computational effort required to evaluate structural integrity, without ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...