Application of machine learning models for designing CFCFST columns
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Application of machine learning models for designing CFCFST columns
Authors
Keywords
Support vector machine, Artificial neural network, Concrete-filled cold-formed steel tubular column, Reliability analysis
Journal
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
Volume 185, Issue -, Pages 106856
Publisher
Elsevier BV
Online
2021-07-20
DOI
10.1016/j.jcsr.2021.106856
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete
- (2020) Viet-Linh Tran et al. THIN-WALLED STRUCTURES
- Predicting capacity model and seismic fragility estimation for RC bridge based on artificial neural network
- (2020) Caigui Huang et al. Structures
- Efficient machine learning models for prediction of concrete strengths
- (2020) Hoang Nguyen et al. CONSTRUCTION AND BUILDING MATERIALS
- Behaviour of concrete-filled cold-formed high strength steel circular stub columns
- (2020) Meini Su et al. THIN-WALLED STRUCTURES
- Application of ANN to the design of CFST columns
- (2020) Mohammadreza Zarringol et al. Structures
- Concrete-filled steel tubular columns: Test database, design and calibration
- (2019) Son Thai et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Application of ANN in predicting ACC of SCFST column
- (2019) Viet-Linh Tran et al. COMPOSITE STRUCTURES
- Reliability assessment of axially loaded uPVC tube confined reinforced concrete columns
- (2019) Abraham Mengesha Woldemariam et al. Structures
- A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
- (2018) Dac-Khuong Bui et al. CONSTRUCTION AND BUILDING MATERIALS
- Experimental investigation on octagonal concrete filled steel stub columns under uniaxial compression
- (2018) Jiong-Yi Zhu et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Experimental study on axially compressed circular CFST columns with improved confinement effect
- (2018) Liusheng He et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Structural performance of cold-formed high strength steel tubular columns
- (2018) Han Fang et al. ENGINEERING STRUCTURES
- Strength, stiffness and ductility of concrete-filled steel columns under axial compression
- (2017) Zhi-Bin Wang et al. ENGINEERING STRUCTURES
- Numerical analysis and design of slender concrete-filled elliptical hollow section columns and beam-columns
- (2017) W. Qiu et al. ENGINEERING STRUCTURES
- An Artificial Neural Networks model for the prediction of the compressive strength of FRP-confined concrete circular columns
- (2017) Alessio Cascardi et al. ENGINEERING STRUCTURES
- Research on axial bearing capacity of rectangular concrete-filled steel tubular columns based on artificial neural networks
- (2017) Yansheng Du et al. Frontiers of Computer Science
- System reliability evaluation of steel frames with semi-rigid connections
- (2016) Huu-Tai Thai et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Numerical modelling of concrete-filled steel box columns incorporating high strength materials
- (2014) Huu-Tai Thai et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Experimental behaviour of cold-formed steel welded tube filled with concrete made of crushed crystallized slag subjected to eccentric load
- (2014) Noureddine Ferhoune THIN-WALLED STRUCTURES
- Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns
- (2013) Joaquim Tinoco et al. COMPUTERS AND GEOTECHNICS
- Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength
- (2013) Jui-Sheng Chou et al. CONSTRUCTION AND BUILDING MATERIALS
- Finite element modelling of concrete-filled steel stub columns under axial compression
- (2013) Zhong Tao et al. JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Evolutionary artificial neural networks: a review
- (2011) Shifei Ding et al. ARTIFICIAL INTELLIGENCE REVIEW
- Prediction of strength parameters of FRP-confined concrete
- (2011) H.M. Elsanadedy et al. COMPOSITES PART B-ENGINEERING
- Prediction of elastic modulus of normal and high strength concrete by support vector machine
- (2010) Kezhen Yan et al. CONSTRUCTION AND BUILDING MATERIALS
- Neural networks modeling of shear strength of SFRC corbels without stirrups
- (2009) Shailendra Kumar et al. APPLIED SOFT COMPUTING
- Performance-based analysis of concrete-filled steel tubular beam–columns, Part I: Theory and algorithms
- (2008) Qing Quan Liang JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
- Nonlinear structural response prediction based on support vector machines
- (2007) Dong Yinfeng et al. JOURNAL OF SOUND AND VIBRATION
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started