Accurate prediction of cyclic hysteresis behaviour of RBS connections using Deep Learning Neural Networks

More efficient design of reduced beam sections (RBS) for maximum seismic performance

(2021) Thomas Alexander Horton et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Development of more accurate cyclic hysteretic models to represent RBS connections

(2021) Thomas Alexander Horton et al.   ENGINEERING STRUCTURES

Application of deep learning method in web crippling strength prediction of cold-formed stainless steel channel sections under end-two-flange loading

(2021) Zhiyuan Fang et al.   Structures

Deep learning-based axial capacity prediction for cold-formed steel channel sections using Deep Belief Network

(2021) Zhiyuan Fang et al.   Structures

Online prediction of mechanical properties of hot rolled steel plate using machine learning

(2020) Qian Xie et al.   MATERIALS & DESIGN

Steel moment resisting frames with both joint and beam dissipation zones

(2018) M.E. Lemonis   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Permanent seismic drifts in steel moment frames

(2018) M.A. Bravo-Haro et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Seismic performance of a self-centering steel moment frame building: From component-level modeling to economic loss assessment

(2018) Xingquan Guan et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A new predictive model for the minimum strength requirement of steel moment frames using artificial neural network

(2018) Amir Ahmad Hedayat et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Seismic performance of MRFs with high strength steel main frames and EDBs

(2016) Ke Ke et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Development of structural shear fuse in moment resisting frames

(2015) M.T. Nikoukalam et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Seismic performance evaluation of weak axis column-tree moment connections with reduced beam section

(2015) Keunyeong Oh et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Neural networks for inelastic distortional buckling capacity assessment of steel I-beams

(2015) Sajjad Tohidi et al.   THIN-WALLED STRUCTURES

Lateral-torsional buckling capacity assessment of web opening steel girders by artificial neural networks — elastic investigation

(2014) Yasser Sharifi et al.   Frontiers of Structural and Civil Engineering

WUF-W connection performance to box column subjected to uniaxial and biaxial loading

(2013) Z. Saneei Nia et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Seismic performance of steel beam-to-column moment connections with tapered beam flanges

(2012) Cheng-Chih Chen et al.   ENGINEERING STRUCTURES

Assessment of load carrying capacity of castellated steel beams by neural networks

(2011) Saeed Gholizadeh et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Neural networks for prediction of deflection in composite bridges

(2011) Zekarias Tadesse et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Cyclic performance of steel moment-resisting connections with reduced beam sections — experimental analysis and finite element model simulation

(2010) D.T. Pachoumis et al.   ENGINEERING STRUCTURES

Deterioration Modeling of Steel Components in Support of Collapse Prediction of Steel Moment Frames under Earthquake Loading

(2010) Dimitrios G. Lignos et al.   JOURNAL OF STRUCTURAL ENGINEERING

Assessment of seismic behaviour of SMRFs with RBS connections by means of mixed-based state-space approach

(2009) K. Kildashti et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

Reduced beam section moment connections subjected to cyclic loading: Experimental analysis and FEM simulation

(2008) D.T. Pachoumis et al.   ENGINEERING STRUCTURES

Neural networks for modelling ultimate pure bending of steel circular tubes

(2008) Mohamed Shahin et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A new approach to determine the base shear of steel frame structures

(2008) Naci Caglar et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH