Prediction of fire resistance of concrete encased steel composite columns using artificial neural network

Experimental investigation on fire resistance of high-strength concrete encased steel composite columns

(2021) Shan Li et al.   FIRE SAFETY JOURNAL

The prediction of fire performance of concrete-filled steel tubes (CFST) using artificial neural network

(2021) M.J. Moradi et al.   THIN-WALLED STRUCTURES

Fire performance of composite columns made of high strength steel and concrete

(2021) Shan Li et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Artificial neural networks for non-destructive identification of the interlayer bonding between repair overlay and concrete substrate

(2020) Sławomir Czarnecki et al.   ADVANCES IN ENGINEERING SOFTWARE

Fire induced progressive collapse potential assessment of steel framed buildings using machine learning

(2020) Feng Fu   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Neural network-based formula for shear capacity prediction of one-way slabs under concentrated loads

(2020) Miguel Abambres et al.   ENGINEERING STRUCTURES

PEER Hub ImageNet: A Large-Scale Multiattribute Benchmark Data Set of Structural Images

(2020) Yuqing Gao et al.   JOURNAL OF STRUCTURAL ENGINEERING

Machine learning design of R/C columns

(2020) Aristotelis E. Charalampakis et al.   ENGINEERING STRUCTURES

ANN models for prediction of residual strength of HSC after exposure to elevated temperature

(2019) Husain Abbas et al.   FIRE SAFETY JOURNAL

Prediction of bond performance of tension lap splices using artificial neural networks

(2019) Hyeon-Jong Hwang et al.   ENGINEERING STRUCTURES

An efficient artificial neural network for damage detection in bridges and beam-like structures by improving training parameters using cuckoo search algorithm

(2019) H. Tran-Ngoc et al.   ENGINEERING STRUCTURES

A new approach to determine strength of Perfobond rib shear connector in steel-concrete composite structures by employing neural network

(2018) Hamed Allahyari et al.   ENGINEERING STRUCTURES

Deriving temperature-dependent material models for structural steel through artificial intelligence

(2018) M.Z. Naser   CONSTRUCTION AND BUILDING MATERIALS

Assessment of RC exterior beam-column Joints based on artificial neural networks and other methods

(2017) Gregoria M. Kotsovou et al.   ENGINEERING STRUCTURES

Evaluation on thermal behavior of concrete-filled steel tubular columns based on modified finite difference method

(2016) Ming-Xiang Xiong et al.   ADVANCES IN STRUCTURAL ENGINEERING

Performance of Steel-Reinforced Concrete Column after Exposure to Fire: FEA Model and Experiments

(2016) Lin-Hai Han et al.   JOURNAL OF STRUCTURAL ENGINEERING

Performance of Steel-Reinforced Concrete Column after Exposure to Fire: FEA Model and Experiments

(2016) Lin-Hai Han et al.   JOURNAL OF STRUCTURAL ENGINEERING

Assessment of artificial neural network and genetic programming as predictive tools

(2015) Amir H. Gandomi et al.   ADVANCES IN ENGINEERING SOFTWARE

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

(2015) Hakan Erdem   CONSTRUCTION AND BUILDING MATERIALS

Estimation of the temperature profiles of reinforced concrete cross sections exposed to standard fires by using artificial neural networks with different topologies

(2015) Selahattin Albayrak et al.   FIRE AND MATERIALS

Buckling length determination of concrete filled steel tubular column under axial compression in standard fire test

(2015) Ming-Xiang Xiong et al.   MATERIALS AND STRUCTURES

Prediction of temperature of tubular truss under fire using artificial neural networks

(2013) Jixiang Xu et al.   FIRE SAFETY JOURNAL

Neural networks analysis of compressive strength of lightweight concrete after high temperatures

(2013) A. Ferhat Bingöl et al.   MATERIALS & DESIGN

Analysis of RC T-beams strengthened with CFRP plates under fire loading using ANN

(2012) M. Naser et al.   CONSTRUCTION AND BUILDING MATERIALS

Simple calculation model for evaluating the fire resistance of unreinforced concrete filled tubular columns

(2012) Ana Espinos et al.   ENGINEERING STRUCTURES

Artificial neural network predictors for mechanical properties of cold rolling products

(2011) J. Ghaisari et al.   ADVANCES IN ENGINEERING SOFTWARE

Using artificial neural networks for calculation of temperatures in timber under fire loading

(2011) Paulo B. Cachim   CONSTRUCTION AND BUILDING MATERIALS

Estimation of compressive strength of self compacting concrete containing polypropylene fiber and mineral additives exposed to high temperature using artificial neural network

(2011) Mucteba Uysal et al.   CONSTRUCTION AND BUILDING MATERIALS

A neural network based closed-form solution for the distortional buckling of elliptical tubes

(2011) J.L.R. Dias et al.   ENGINEERING STRUCTURES

Predicting of torsional strength of RC beams by using different artificial neural network algorithms and building codes

(2010) M. Hakan Arslan   ADVANCES IN ENGINEERING SOFTWARE

Fire resistance of concrete encased steel columns under 3- and 4-side standard heating

(2010) Xiaoyong Mao et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Prediction of the moment capacity of reinforced concrete slabs in fire using artificial neural networks

(2009) Hakan Erdem   ADVANCES IN ENGINEERING SOFTWARE

Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network

(2008) Cahit Bilim et al.   ADVANCES IN ENGINEERING SOFTWARE

Temperatures in unprotected joints between steel beams and concrete-filled tubular columns in fire

(2008) J. Ding et al.   FIRE SAFETY JOURNAL

Fire resistance of composite columns with embedded I-section steel — Effects of section size and load level

(2007) Zhan-Fei Huang et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH