Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

Advanced concrete technology is the science of efficient, cost‐effective, and safe design in
civil engineering projects. Engineers and concrete designers are generally faced with the …

This paper presents alternative solutions for classifying concrete spall severity based on
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …

Lateral stiffness of structural components, such as reinforced concrete (RC) columns, plays
an important role in resisting the lateral earthquake loads. The lateral stiffness relates the …

Despite ongoing research efforts aimed at understanding the structural response of ultrahigh-
performance concrete (UHPC) beams, there are very limited provisions for structural design …

Accurately and reliably predicting the drift capacity (DC) of concrete columns is crucial for
the seismic design and damage evaluation of structures. Despite precast concrete columns …

The shear behavior of prestressed concrete (PC) beams is a complex problem because
there are many influential parameters involved. Currently, the code-based shear strength of …

Pile foundations are widely used for high‐rise structures constructed in soft ground. The
bearing capacity of pile is a crucial parameter required during the design and construction …

Predicting effective stiffness (ES) of precast concrete columns (PCCs) is an essential topic
when PCCs are applied to structures in seismic zones. However, existing researches …

This paper describes the development and testing of a novel artificial intelligence-based
inference model for the early prediction of long-term deflection in RC beams, which is a …