Tapered steel plate girders are commonly used in large span industrial structures and
composite bridges. The tapered thin steel web plates under stress gradients in such …

This paper, for the first time, develops novel hybrid machine learning models that combine
Support Vector Machine, Naïve Bayes, K-Nearest Neighbors, Decision Tree, Random …

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

Columns play a very important role in structural performance and, therefore, this paper
contributes to the critical need for failure mode prediction of reinforced concrete (RC) …

Ensuring seismic resilience of school buildings is crucial for safeguarding their occupants
during earthquakes. This paper focuses on assessing the seismic vulnerability of school …

Terrorist bombing-induced casualties are not only related to immediate fatalities but also to
structural deterioration, damage, or even collapse that might occur and may lead to …

Reinforced concrete (RC) structures are used in a wide range of applications, including high-
rise buildings, nuclear power plants, oil and gas platforms, bridges, and other infrastructure …

The estimation of lateral strength in reinforced concrete (RC) columns subjected to cyclic
loads is crucial in structural design. The failure of RC columns under lateral forces can lead …

This paper presents six novel hybrid machine learning (ML) models that combine support
vector machines (SVM), Decision Tree (DT), Random Forest (RF), Gradient Boosting (GB) …

The research goal of this paper is to establish a machine learning (ML) model of shear
capacity of reinforced concrete (RC) columns that can reflect the shear mechanism. The …