Load Capacity Prediction of Elliptical Tube Column (ETC) Filled with Concrete using Artificial Neural Networks

DOI

10.2991/978-94-6463-602-4_4How to use a DOI?

Keywords

Artificial neural network; Load capacity; elliptical; Eurocode 4

Abstract

Elliptical hollow sections have been recently presented to civil engineering industry and its application is becoming popular in contemporary building design due to its pleasing appearance, however, there are no equation in Eurocode to forecast the load capacity of elliptical tube columns (ETC). The present study was conducted to develop an Artificial Neural Network (ANN) model to forecast the load capacity of elliptical tube column filled with concrete. The proposed model was developed using a group of ETC samples collected from different sources of earlier research. The collected data was used to train and examine the proposed ANN model. Moreover, a series of parametric studies are conducted to find out about the main parameters that have the most influence on the ultimate load of ETC filled with concrete. The results showed that the regression value (R) obtained by the proposed model for individual plot, which quantifies the relation among output and target data, was close to 1, which show strong relationship. The results obtained by the proposed ANN model were compared to those predicted using the simple analytical model suggested by Euro Code 4 for concrete-filled steel rectangular tube column. The comparisons displayed a practical agreement. Overall, the results showed that ANN can reasonably estimate ultimate load of ETC filled with concrete.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Munir Mahgub Altamami
AU  - Mahmoud A. T. Khatab
AU  - Abdalla Ali Agwila
PY  - 2024
DA  - 2024/12/24
TI  - Load Capacity Prediction of Elliptical Tube Column (ETC) Filled with Concrete using Artificial Neural Networks
BT  - Proceedings of the 4th International Conference on Key Enabling Technologies (KEYTECH 2024)
PB  - Atlantis Press
SP  - 26
EP  - 33
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-602-4_4
DO  - 10.2991/978-94-6463-602-4_4
ID  - Altamami2024
ER  -