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References (33)
-
F. Erdal, M. Saka (2013)
Ultimate load carrying capacity of optimally designed steel cellular beamsJournal of Constructional Steel Research, 80
-
S. Tohidi, Y. Sharifi (2015)
Neural networks for inelastic distortional buckling capacity assessment of steel I-beamsThin-walled Structures, 94
-
S. Tohidi, Yasser Sharifi (2015)
Empirical Modeling of Distortional Buckling Strength of Half-Through Bridge Girders via Stepwise Regression MethodAdvances in Structural Engineering, 18
-
M. Bradford, A. Wee (1994)
Analysis of buckling tests on beams on seat supportsJournal of Constructional Steel Research, 28
-
A. Gandomi, S. Tabatabaei, M. Moradian, A. Radfar, A. Alavi (2011)
A new prediction model for the load capacity of castellated steel beamsJournal of Constructional Steel Research, 67
-
A. Alavi, M. Ameri, A. Gandomi, Mohammadreza Mirzahosseini (2011)
Formulation of flow number of asphalt mixes using a hybrid computational methodConstruction and Building Materials, 25
-
Y. Sharifi, S. Tohidi (2014)
ULTIMATE CAPACITY ASSESSMENT OF WEB PLATE BEAMS WITH PITTING CORROSION SUBJECTED TO PATCH LOADING BY ARTIFICIAL NEURAL NETWORKS -
S. Tohidi, Y. Sharifi (2016)
Load-carrying capacity of locally corroded steel plate girder ends using artificial neural networkThin-walled Structures, 100
-
A. Gandomi, S DanialMohammadzadeh, Juan Pérez-Ordóñez, A. Alavi (2014)
Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrupsAppl. Soft Comput., 19
-
(1995)
Report of loading tests on cellform beams -
City Research Online -
S. Tohidi, Y. Sharifi (2016)
A new predictive model for restrained distortional buckling strength of half-through bridge girders using artificial neural networkKSCE Journal of Civil Engineering, 20
-
G. Garson (1991)
Interpreting neural-network connection weights, 6
-
M. Hagan, M. Menhaj (1994)
Training feedforward networks with the Marquardt algorithmIEEE transactions on neural networks, 5 6
-
Y. Sharifi (2011)
RELIABILITY OF DETERIORATING STEEL BOX-GIRDER BRIDGES UNDER PITTING CORROSION -
K. Tsavdaridis, M. Hawes (2009)
Experimental Study of Ultra Shallow Floor Beams with Perforated Steel Sections -
D. Marquardt (1963)
An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of The Society for Industrial and Applied Mathematics, 11
-
Y. Sharifi, S. Tohidi (2014)
Lateral-torsional buckling capacity assessment of web opening steel girders by artificial neural networks — elastic investigationFrontiers of Structural and Civil Engineering, 8
-
G. Cybenko (1989)
Approximation by superpositions of a sigmoidal functionMathematics of Control, Signals and Systems, 2
-
A. Gandomi, A. Alavi, M. Mousavi, S. Tabatabaei (2011)
A hybrid computational approach to derive new ground-motion prediction equationsEng. Appl. Artif. Intell., 24
-
Y. Sharifi, S. Tohidi, J. Paik (2016)
Ultimate compressive strength of deteriorated steel web plate with pitting and uniform corrosion wastageScientia Iranica, 23
-
K. Tsavdaridis, C. D’Mello, M. Hawes (2009)
Experimental Study of Ultra Shallow Floor Beams (USFB) with Perforated Steel Sections -
J. Warren (2001)
Ultimate load and deflection behaviour of cellular beams. -
(2012)
Lateral torsional buckling of cellular beams. In: Proceedings of the structural stability research council annual stability conference -
S. Tohidi, Y. Sharifi (2015)
Inelastic lateral-torsional buckling capacity of corroded web opening steel beams using artificial neural networksThe IES Journal Part A: Civil & Structural Engineering, 8
-
E. Ellobody (2012)
Nonlinear analysis of cellular steel beams under combined buckling modesThin-walled Structures, 52
-
G. Smith (1986)
Probability and statistics in civil engineering: An introduction -
J. Muller (2016)
The Data Analysis Handbook -
Y. Sharifi, J. Paik (2011)
Ultimate strength reliability analysis of corroded steel-box girder bridgesThin-walled Structures, 49
-
Y. Sharifi, J. Paik (2014)
Maintenance and repair scheme for corroded stiffened steel box girder bridges based on ultimate strength reliability and risk assessmentsEngineering Structures and Technologies, 6
-
Y. Sharifi, J. Paik (2009)
Environmental Effects on Ultimate Strength Reliability of Corroded Steel Box Girder Bridges, 2
-
N. Trahair (1993)
Flexural-Torsional Buckling of Structures -
H. Chung, B. Chun, Yong Lee (2006)
The combined electrokinetic and ultrasonic remediation of sand contaminated with heavy metal and organic substanceKSCE Journal of Civil Engineering, 10
- Publisher
- SAGE
- Copyright
- © The Author(s) 2019
- ISSN
- 1369-4332
- eISSN
- 2048-4011
- DOI
- 10.1177/1369433219836176
- Publisher site
- See Article on Publisher Site
Abstract
An artificial neural network model was developed as a reliable modeling method for simulating and predicting the ultimate force capacities of cellular steel beams. The required data in training, validating, and testing states were obtained from a reliable database. A new formula based on the artificial neural network was proposed to predict the failure loads of cellular steel beams subjected to lateral torsional buckling. The attempt was done to evaluate a practical formula considering all parameters which may affect the lateral torsional buckling strength. Then, a comparison was made between the proposed formula and the predictions obtained from Australian Standard (AS4100). The results provided some evidence that proposed formula obtained more accurate predictions than AS4100 design guides. Finally, a sensitivity analysis was developed using Garson’s algorithm to determine the importance of each input parameters.
Journal
Advances in Structural Engineering – SAGE
Published: Jul 1, 2019