Novel Fuzzy-Based Optimization Approaches for the Prediction of Ultimate Axial Load of Circular Concrete-Filled Steel Tubes

Novel Fuzzy-Based Optimization Approaches for the Prediction of Ultimate Axial Load of Circular Concrete-Filled Steel Tubes

An accurate estimation of the axial compression capacity of the concrete-filled steel tubular (CFST) column is crucial for ensuring the safety of structures containing them and preventing related failures. In this article, two novel hybrid fuzzy systems (FS) were used to create a new framework for e...

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Bibliographic Details
Main Authors: Jinsong Liao, Panagiotis G. Asteris, Liborio Cavaleri, Ahmed Salih Mohammed, Minas E. Lemonis, Markos Z. Tsoukalas, Athanasia D. Skentou, Chrysanthos Maraveas, Mohammadreza Koopialipoor, Danial Jahed Armaghani
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Buildings
Subjects:
CCFST
hybrid
prediction
FFA
DE
FS
Online Access:https://www.mdpi.com/2075-5309/11/12/629

Internet

https://www.mdpi.com/2075-5309/11/12/629

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