The main objective of the present work is to estimate the load-carrying capacity of concrete-
filled steel tubes (CFST) under axial compression using hybrid artificial intelligence (AI) …

Soil-structure interaction (SSI) phenomena subjected to seismic loadings are investigated in
this study. Firstly, shaking table tests on dynamic soil‐structure interaction subjected to …

To investigate the influence of dynamic structure-soil-structure interaction (SSSI) on the
responses of two adjacent structures, shaking table tests were conducted on a series of …

In the present study, an efficient bagging ensemble model based on two well-known
decision tree algorithms, namely, M5′ and Classification and Regression Trees (CART) is …

In this paper, a prediction model is developed using support vector machine for forecasting
the parameter associated with ground motion of a seismic signal. The prediction model is …

Limited research is available in the literature to investigate the presentation of normal
strength concrete-filled steel tube (CFST) circular compression elements under compression …

Assessment of potential seismic risk and losses in urban environments is necessary for
several purposes ranging from risk mitigation to city and regional planning. It is well known …

Predicting peak time‐domain ground‐motion parameters, such as peak ground acceleration
(PGA), peak ground velocity, and peak ground displacement at a specific location, is …

Peak ground acceleration (PGA) and study area (SA) distribution for the Patna district are
presented considering both the classical and zoneless approaches through a logic tree …

Concrete-filled steel tube (CFST) rectangular columns have several benefits for structural
engineering and buildings. The advantages of both steel and concrete are combined in …