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 …

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 …

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 …

Failure mode identification and shear strength prediction are critical issues in designing
reinforced concrete (RC) structures. Nevertheless, specific guidelines for identifying the …

A two-stage support vector machine (SVM) method for the failure mode classification of
reinforced concrete (RC) columns is proposed. A two-stage SVM model is established to …

The determination of shear strength and the identification of potential failure modes are the
crucial steps in designing and evaluating the structural performance of reinforced concrete …

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 …

Purpose Engineering design and operational decisions depend largely on deep
understanding of applications that requires assumptions for simplification of the problems in …

Various structural failure modes exhibit great differences in occurrence probabilities, failure
consequences and intrinsic characteristics, etc. Utilising these differences can enhance the …

In order to apply the performance-based seismic design, an engineer must first find out
whether the column is expected to fail in shear before or after flexural yielding. According to …