The bond strength between fibre-reinforced polymer (FRP) rebars and concrete is one of the
most significant aspects of composite behaviour for rebars and concrete. In this study, a …

This study deals with the development of an artificial neural network (ANN) and a multiple
regression (MR) model that can be employed for estimating the California bearing ratio …

In our present work, a multi-layered feed-forward neural network (FFNN) model was
designed and developed to predict electrical conductivity of multi-walled carbon nanotube …

Intelligent systems are frequently used to solve difficult and complex problems in today's
world. Especially in the discipline of civil engineering, much research has been conducted …

Use of computational modeling with a few experiments is considered useful to obtain the
best possible result for a final product, without performing expensive and time-consuming …

Currently, there is a scarcity of studies that comprehensively address all structural
components in the building's overall environmental performance. Although mathematical …

This study deals with development of two different artificial neural network (ANN) models:
one for predicting cone penetration resistance and the other for predicting liquefaction …

Cold-formed steel (CFS) construction is widely recognised as an important contributor to
sustainability and green construction. Thus, the use of CFS construction is encouraged and …

In this study, an artificial neural network (ANN) model was developed to predict the cone
penetration resistance of silty sands. To achieve this, the data sets reported by Ecemis and …

The use of Beam for the osing traditional house structure is rarely used as a horizontal
structural element at the bottom, while this structural element is very important when an …