Classification and regression tree (CART)‎ modelling for analysis of shear strength of FRP-RC members

Joint Authors

Gazder, Uneb
Arifuzzaman
Alam, Shah

Source

Arab Journal of Basic and Applied Sciences

Issue

Vol. 28, Issue 1 (31 Dec. 2021), pp.397-405, 9 p.

Publisher

University of Bahrain College of Science

Publication Date

2021-12-31

Country of Publication

Bahrain

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

The shear behaviour of concrete members that are reinforced with fibre-reinforced polymer (FRP) bars varies from that of steel reinforced concrete members.

The use of non-parametric techniques, which can explain the relationship between different properties of FRP members in more detail, has not yet been well researched in this area.

This study utilized a non-parametric technique, namely Classification and Regression Tree (CART) to predict the shear capacity of FRP reinforced concrete members.

The members were only reinforced lengthways without vertical reinforcement.

A total of 216 experimental results are used to train and test the CART model.

The outcomes from CART were compared to traditional models and equations, as well as another non-parametric model from previous research.

The comparison showed that CART has better accuracy than other models.

It can therefore be used to develop guidelines for the design of FRP concrete members.

American Psychological Association (APA)

Alam, Shah& Gazder, Uneb& Arifuzzaman. 2021. Classification and regression tree (CART) modelling for analysis of shear strength of FRP-RC members. Arab Journal of Basic and Applied Sciences،Vol. 28, no. 1, pp.397-405.
https://search.emarefa.net/detail/BIM-1340644

Modern Language Association (MLA)

Arifuzzaman…[et al.]. Classification and regression tree (CART) modelling for analysis of shear strength of FRP-RC members. Arab Journal of Basic and Applied Sciences Vol. 28, no. 1 (2021), pp.397-405.
https://search.emarefa.net/detail/BIM-1340644

American Medical Association (AMA)

Alam, Shah& Gazder, Uneb& Arifuzzaman. Classification and regression tree (CART) modelling for analysis of shear strength of FRP-RC members. Arab Journal of Basic and Applied Sciences. 2021. Vol. 28, no. 1, pp.397-405.
https://search.emarefa.net/detail/BIM-1340644

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 403-402

Record ID

BIM-1340644