Application of ANN to the design of CFST columns

Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies

(2020) Marcus Stoffel et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

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

Fire resistance evaluation through artificial intelligence - A case for timber structures

(2019) M.Z. Naser   FIRE SAFETY JOURNAL

Axial behavior of ultra-high performance concrete (UHPC) filled stocky steel tubes with square sections

(2019) Yanxiang Yan et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

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

Shape effect on axially loaded high strength CFST stub columns

(2018) Carmen Ibañez et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Deep Convolutional Neural Network for Structural Dynamic Response Estimation and System Identification

(2018) Rih-Teng Wu et al.   JOURNAL OF ENGINEERING MECHANICS

Strength, stiffness and ductility of concrete-filled steel columns under axial compression

(2017) Zhi-Bin Wang 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

Artificial neural network prediction of buckling load of thin cylindrical shells under axial compression

(2017) Zia ul Rehman Tahir 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

Experimental behavior and design method of rectangular concrete-filled tubular columns using Q460 high-strength steel

(2016) Yansheng Du et al.   CONSTRUCTION AND BUILDING MATERIALS

System reliability evaluation of steel frames with semi-rigid connections

(2016) Huu-Tai Thai et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Predicting the moment capacity of RC beams exposed to fire using ANNs

(2015) Hakan Erdem   CONSTRUCTION AND BUILDING MATERIALS

Review and application of Artificial Neural Networks models in reliability analysis of steel structures

(2015) A.A. Chojaczyk et al.   STRUCTURAL SAFETY

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

High strength thin-walled rectangular concrete-filled steel tubular slender beam-columns, Part I: Modeling

(2011) Vipulkumar Ishvarbhai Patel et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Behavior of high-strength circular concrete-filled steel tubular (CFST) column under eccentric loading

(2010) Seong-Hui Lee et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Neural networks modeling of shear strength of SFRC corbels without stirrups

(2009) Shailendra Kumar et al.   APPLIED SOFT COMPUTING

Analysis and design of concrete-filled stiffened thin-walled steel tubular columns under axial compression

(2009) Zhong Tao et al.   THIN-WALLED STRUCTURES

Reliability analysis of structures using artificial neural network based genetic algorithms

(2008) Jin Cheng et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING