Bearing capacity of steel-caged RC columns under combined bending and axial loads: Estimation based on Artificial Neural Networks

Engineering Structures ◽

10.1016/j.engstruct.2013.06.039 ◽

2013 ◽

Vol 56 ◽

pp. 1262-1270 ◽

Cited By ~ 5

Author(s):

Caroline Jørgensen ◽

Ragnhild Grastveit ◽

Julio Garzón-Roca ◽

Ignacio Payá-Zaforteza ◽

Jose M. Adam

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Axial Loads ◽

Rc Columns ◽

Artificial Neural

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Prediction of pile bearing capacity using artificial neural networks

Computers and Geotechnics ◽

10.1016/0266-352x(95)00027-8 ◽

1996 ◽

Vol 18 (3) ◽

pp. 189-200 ◽

Cited By ~ 133

Author(s):

In-Mo Lee ◽

Jeong-Hark Lee

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Artificial Neural

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Prediction of Safe Bearing Capacity of Noncohesive Soil in Arid Zone Using Artificial Neural Networks

International Journal of Geomechanics ◽

10.1061/(asce)gm.1943-5622.0000514 ◽

2016 ◽

Vol 16 (2) ◽

pp. 04015044 ◽

Cited By ~ 3

Author(s):

Rajiv Gupta ◽

Kartik Goyal ◽

Navneet Yadav

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Arid Zone ◽

Artificial Neural

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Modeling ultimate deformation capacity of RC columns using artificial neural networks

Engineering Structures ◽

10.1016/j.engstruct.2006.05.001 ◽

2007 ◽

Vol 29 (3) ◽

pp. 329-335 ◽

Cited By ~ 24

Author(s):

Mehmet Inel

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Deformation Capacity ◽

Rc Columns ◽

Ultimate Deformation ◽

Artificial Neural

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Explicit formulation of bearing capacity of shallow foundations on rock masses using artificial neural networks: application and supplementary studies

Environmental Earth Sciences ◽

10.1007/s12665-014-3630-x ◽

2014 ◽

Vol 73 (7) ◽

pp. 3417-3431 ◽

Cited By ~ 21

Author(s):

Seyed Ali Ziaee ◽

Ehsan Sadrossadat ◽

Amir H. Alavi ◽

Danial Mohammadzadeh Shadmehri

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Shallow Foundations ◽

Rock Masses ◽

Explicit Formulation ◽

Artificial Neural

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Prediction of Bearing Capacity of the Soil using Artificial Neural Networks

10.4271/2007-01-3731 ◽

2007 ◽

Cited By ~ 1

Author(s):

M. A. A. Emam ◽

S. Shaaban

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Artificial Neural

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Predicting ultimate bearing capacity of shallow foundations on reinforced cohesionless soils using artificial neural networks

Geosynthetics International ◽

10.1680/gein.2005.12.6.321 ◽

2005 ◽

Vol 12 (6) ◽

pp. 321-332 ◽

Cited By ~ 17

Author(s):

A. Soleimanbeigi ◽

N. Hataf

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Ultimate Bearing Capacity ◽

Shallow Foundations ◽

Cohesionless Soils ◽

Artificial Neural

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Prediction of temperature variation in FRP-wrapped RC columns exposed to fire using artificial neural networks

Engineering Structures ◽

10.1016/j.engstruct.2021.112219 ◽

2021 ◽

Vol 238 ◽

pp. 112219

Author(s):

Mohammed Hisham ◽

Gehan A. Hamdy ◽

Osama O. El-Mahdy

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Temperature Variation ◽

Rc Columns ◽

Artificial Neural

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Prediction of ultimate bearing capacity of Tubular T-joint under fire using artificial neural networks

Safety Science ◽

10.1016/j.ssci.2012.02.004 ◽

2012 ◽

Vol 50 (7) ◽

pp. 1495-1501 ◽

Cited By ~ 16

Author(s):

Jixiang Xu ◽

Jincheng Zhao ◽

Zhenseng Song ◽

Minglu Liu

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Ultimate Bearing Capacity ◽

Artificial Neural

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New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization

Engineering Geology ◽

10.1016/j.enggeo.2010.10.002 ◽

2011 ◽

Vol 117 (1-2) ◽

pp. 29-38 ◽

Cited By ~ 40

Author(s):

Adem Kalinli ◽

M. Cemal Acar ◽

Zeki Gündüz

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Ant Colony Optimization ◽

Ultimate Bearing Capacity ◽

Shallow Foundations ◽

Ant Colony ◽

New Approaches ◽

Artificial Neural

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Use of PDA Dynamic Test Results in Determining the Bearing Capacity of Single Pile in Marine Structures by Artificial Neural Networks

مهندسی دریا ◽

10.29252/marineeng.16.31.131 ◽

2020 ◽

Vol 16 (31) ◽

pp. 131-138

Author(s):

Saeed Ghaffarpour Jahromi ◽

Mohammad Sharafuddin ◽

◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Bearing Capacity ◽

Dynamic Test ◽

Single Pile ◽

Test Results ◽

Marine Structures ◽

Artificial Neural

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