Optimization and modeling of axial strength of concrete-filled double skin steel tubular columns using response surface and neural-network methods-Reference-Cited by-同舟云学术

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Optimization and modeling of axial strength of concrete-filled double skin steel tubular columns using response surface and neural-network methods

Published:2021-11 Issue: Volume:43 Page:103128
ISSN:2352-7102
Container-title:Journal of Building Engineering
language:en
Short-container-title:Journal of Building Engineering

Author:

İpek Süleyman,Güneyisi Esra Mete,Mermerdaş Kasım,Algın Zeynep

Publisher

Elsevier BV

Subject

Mechanics of Materials,Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering

Reference52 articles.

1. Concrete filled double skin circular stub columns under compression;Uenaka;Thin-Walled Struct.,2010

2. Axial compression tests on elliptical high strength steel tubes filled with self-compacting concrete of different mix proportions;Liao;Journal of Building Engineering,2021

3. Evaluating structural response of concrete-filled steel tubular columns through machine learning;Naser;Journal of Building Engineering,2021

4. Double skin composite construction;Zhao;Prog. Struct. Eng. Mater.,2006

5. Numerical Modeling and Assessment of Circular Concrete-Filled Steel Tubular Members;Kalemi,2016

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effect of Fiber Meshes on Compression Performance of Textile Reinforced Concrete Based on Response Surface Method;Iranian Journal of Science and Technology, Transactions of Civil Engineering;2024-04-16

2. Data‐driven investigation of compressive strength of FRP‐confined concrete columns using a unified model based on RSM considering interactions between parameters;Structural Concrete;2024-04-03

3. Ultimate axial strength prediction of concrete-filled double-skin steel tube columns using soft computing methods;Engineering Applications of Artificial Intelligence;2024-03

4. Prediction of the axial compression capacity of stub CFST columns using machine learning techniques;Scientific Reports;2024-02-05

5. Numerical analysis of a prefabricated concrete beam-to-column connection with bolted end plates;Structures;2024-01

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