Failure mode (FM) and bearing capacity of reinforced concrete (RC) columns are key
concerns in structural design and/or performance assessment procedures. The failure types …

The prediction of failure mode of columns is critical in deciding the operational and recovery
strategies of a bridge after a seismic event. This paper contributes to the critical need of …

In this article, new efficient methods are presented to classify failure modes in reinforced
concrete columns. For this purpose, machine learning techniques were utilized with …

Corrosion of steel reinforcements is a major factor that will adversely affect the seismic
performance of the reinforced concrete (RC) columns. This paper investigates the …

Structures designed with high ductility often have significant residual displacement. As a self-
centered structure, unbonded prestressed reinforced concrete (UBPRC) columns can …

This article presents an innovative artificial intelligence based multi-expression
programming approach to predict the seismic capacity of reinforced concrete rectangular …

This study experimentally examined the seismic performance of corroded reinforced
concrete (RC) columns designed with low and high axial forces. To do this, ten RC columns …

Selecting optimal input variables for machine learning (ML) algorithms is essential for any
model outputs. This study presented a feature selection-based approach for determining the …

The results of experimental tests carried out on reinforced concrete (RC) full‐scale 2‐storey
2‐bays framed buildings are presented. The unretrofitted frame was designed for gravity …

The emerging field of performance-based earthquake engineering enables the evaluation of
seismic performance of building structures. In this study, performance-based earthquake …