Efficient framework for ultimate strength prediction and production-based CO2 emission optimization of CFST columns using categorical boosting algorithm and moth flame optimization-Reference-Cited by-同舟云学术

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Efficient framework for ultimate strength prediction and production-based CO2 emission optimization of CFST columns using categorical boosting algorithm and moth flame optimization

Published:2024-04 Issue: Volume:333 Page:117943
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Tran Viet-Linh^ORCID,Thai Duc-Kien,Kim Seung-Eock

Publisher

Elsevier BV

Reference91 articles.

1. Developments and advanced applications of concrete-filled steel tubular (CFST) structures: Members;Han;J Constr Steel Res,2014

2. A path dependent constitutive model for CFFT column;Ho;Eng Struct,2020

3. Theoretical Stress-Strain Model for Confined Concrete;Mander;J Struct Eng,1988

4. A constitutive model for predicting the lateral strain of confined concrete;Dong;Eng Struct,2015

5. A stress-path dependent stress-strain model for FRP-confined concrete;Lai;Eng Struct,2020

Cited by 2 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. Predicting Autogenous Shrinkage of Concrete Including Superabsorbent Polymers and Other Cementitious Ingredients Using Convolution-based Algorithms;Periodica Polytechnica Civil Engineering;2024-06-12

2. Prediction of Torque Capacity in Circular Concrete-Filled Double-Skin Tubular Members under Pure Torsion via Machine Learning and Shapley Additive Explanations Interpretation;Buildings;2024-04-08

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