A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling

Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an...

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Published in:Engineering science and technology, an international journal Vol. 23; no. 2; pp. 382 - 391
Main Authors: Naderpour, Hosein, Rezazadeh Eidgahee, Danial, Fakharian, Pouyan, Rafiean, Amir Hossein, Kalantari, Seyed Meisam
Format: Journal Article
Language:English
Published: Elsevier B.V 01.04.2020
Elsevier
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ISSN:2215-0986, 2215-0986
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Abstract Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an ideal option as a replacement for some traditional structures methods. In members with axially loaded reinforced concrete ferrocement composite, it would be the best alternative to use ferrocement members. Lack of sufficient research in this approach is the cause of not well defining this field for RC structures. This study has aimed to evaluate the moment capacity of ferrocement members using the GMDH method. Mechanical and geometrical parameters including the width of specimens, total depth specimens, compressive strength of ferrocement, ultimate strength of wire mesh and volume fraction of wire mesh are considered as inputs to predict the moment capacity of ferrocement members. For evaluating this model, mean absolute error (MAE), root mean absolute error (RMAE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were carried out. The results conducted that the GMDH model is significantly better than some previous models and comparable to some other methods. Moreover, a new formulation for moment capacity of ferrocement members based on GMDH approach is presented. Finally, Sensitivity analysis is operated to understand the influence of each input parameters on moment capacity of ferrocement members.
AbstractList Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface area-to-volume ratio of the reinforcement of such composites would improve the crack-arresting mechanism. Given these properties, ferrocement is an ideal option as a replacement for some traditional structures methods. In members with axially loaded reinforced concrete ferrocement composite, it would be the best alternative to use ferrocement members. Lack of sufficient research in this approach is the cause of not well defining this field for RC structures. This study has aimed to evaluate the moment capacity of ferrocement members using the GMDH method. Mechanical and geometrical parameters including the width of specimens, total depth specimens, compressive strength of ferrocement, ultimate strength of wire mesh and volume fraction of wire mesh are considered as inputs to predict the moment capacity of ferrocement members. For evaluating this model, mean absolute error (MAE), root mean absolute error (RMAE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were carried out. The results conducted that the GMDH model is significantly better than some previous models and comparable to some other methods. Moreover, a new formulation for moment capacity of ferrocement members based on GMDH approach is presented. Finally, Sensitivity analysis is operated to understand the influence of each input parameters on moment capacity of ferrocement members.
Author Rezazadeh Eidgahee, Danial
Kalantari, Seyed Meisam
Fakharian, Pouyan
Rafiean, Amir Hossein
Naderpour, Hosein
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Cites_doi 10.1007/s00521-012-1091-2
10.1002/(SICI)1096-9845(1998110)27:11<1267::AID-EQE782>3.0.CO;2-D
10.1061/(ASCE)0899-1561(1991)3:4(263)
10.1016/j.engstruct.2010.02.024
10.1016/j.conbuildmat.2007.04.004
10.1016/0045-7949(92)90132-J
10.1108/02644400710718547
10.1016/0045-7949(96)00044-2
10.1061/(ASCE)0887-3801(1995)9:2(168)
10.1016/0958-9465(91)90042-G
10.1016/j.engstruct.2006.04.015
10.1016/j.matdes.2013.05.022
10.1016/j.conbuildmat.2008.07.021
10.1002/nme.549
10.1016/j.conbuildmat.2005.01.054
10.1016/j.advengsoft.2009.01.005
10.1016/0005-1098(71)90059-8
10.1016/j.commatsci.2007.04.009
10.1016/j.compgeo.2007.03.001
10.1016/j.commatsci.2010.05.050
10.1016/j.jhydrol.2012.06.034
10.1016/j.conbuildmat.2015.03.059
10.1016/j.commatsci.2007.06.011
10.1061/(ASCE)0887-3801(2004)18:4(350)
10.1111/0885-9507.00219
10.1016/j.conbuildmat.2006.11.007
10.2166/wst.2012.100
10.1016/j.compstruct.2017.03.028
10.1109/TSMC.1971.4308320
10.1016/j.compstruct.2019.02.048
10.1007/s12205-016-0523-4
10.1016/j.compstruct.2010.04.008
10.1016/j.conbuildmat.2017.11.054
10.1016/0045-7949(95)00048-L
10.1061/JSDEAG.0004744
10.1016/j.engstruct.2013.09.022
10.1016/j.advengsoft.2013.09.004
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Issue 2
Keywords Moment capacity
Ferrocement members
Concrete
Group Method of Data Handling (GMDH)
Combinatorial algorithm
Language English
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References Seshu (b0060) 2001; 31
Azimi (b0340) 2017; 1
Naderpour, Nagai, Fakharian, Haji (b0320) 2019; 215
Öztaş, Pala, Özbay, Kanca, Çagˇlar, Bhatti (b0200) 2006; 20
Pourzeynali, Lavasani, Modarayi (b0240) 2007; 29
ACI 549.1R-93: Guide for the Design, Construction & Repair of Ferrocement, n.d.
Bingöl, Tortum, Gül (b0185) 2013; 52
Wu, Ghaboussi, Garrett (b0135) 1992; 42
Ivakhnenko, Savchenko, Ivakhnenko (b0355) 2002; 12
Hanna, Ural, Saygili (b0105) 2007; 24
Zhang, Pei, Dai (b0230) 2013
Kaish, Jamil, Raman, Zain, Nahar (b0065) 2018; 160
Sarıdemir, Topçu, Özcan, Severcan (b0190) 2009; 23
Desayi, Reddy (b0385) 1991; 13
Topçu, Sarıdemir (b0270) 2008; 22
Naaman (b0330) 1986; 16
Ferreira (b0290) 2001
Topçu, Sarıdemir (b0275) 2008; 42
Quek, On (b0080) 1991; 3
Madandoust, Ghavidel, Nariman-zadeh (b0125) 2010; 49
Padmini, Ilamparuthi, Sudheer (b0110) 2008; 35
Naderpour, Rafiean, Fakharian (b0205) 2018; 16
Yuan, Wang, Ji (b0255) 2014; 67
Fakharian, Naderpour, Haddad, Rafiean, Rezazadeh (b0310) 2018
Paramasivam, Ravindrarajah (b0085) 1988; 85
Åström, Eykhoff (b0100) 1971; 7
Khan, Rafeeqi, Ayub (b0070) 2013; 37
Audu, Oseni (b0010) 2015; 3
Rafeeqi, Ayub (b0035) 2011; 12
Rajasekaran, Febin, Ramasamy (b0245) 1996; 61
Gandomi, Roke, Sett (b0095) 2013; 57
Paramasivam, Mansur, Ong (b0380) 1985; 15
Ghaboussi, Garrett, Wu (b0155) 1991; 117
Waliuddin, Rafeeqi (b0030) 1994; 24
Adeli (b0130) 2001; 16
J.C. Adajar, T. Hogue, C. Jordan, Ferrocement for hurricane–prone state of Florida, in: Struct Faults + Repair – 2006, Edinburgh, Scotland, UK, 2006.
Torkian, Keshavarz (b0250) 2018
Gandomi, Alavi (b0315) 2013
Azamathulla (b0305) 2012; 460–461
Azamathulla (b0295) 2013; 23
Adeli, Park (b0145) 1995; 57
Topçu, Sarıdemir (b0265) 2008; 41
Balaguru, Naaman, Shah (b0375) 1977; 103
Alwash (b0370) 1974
Naderpour, Kheyroddin, Amiri (b0160) 2010; 92
Tam, Fang (b0170) 1999; 96
Haj-Ali, Kurtis, Sthapit (b0210) 2001; 98
Sarma, Adeli (b0175) 2002; 55
Eskandari, Madadi (b0025) 2015; 18
Mansur, Paramasivam (b0325) 1986; 16
Sanchez, Shibata, Zadeh (b0120) 1997; 7
Madala, Ivakhnenko (b0335) 1994
Onet, Magureanu, Vescan (b0050) 1992; 22
Chen, Tsai, Qi, Yang, Amini (b0150) 1995; 9
Guven, Azamathulla (b0300) 2012; 65
Ong, Paramasivam, Lim (b0055) 1992; 22
Ivakhnenko (b0345) 1971; 1
Naaman (b0075) 2000
Demir (b0195) 2008; 22
Bansal, Civil, Structures (b0040) 2014; 5
Mansur (b0090) 1988; 18
Özcan, Atiş, Karahan, Uncuoğlu, Tanyildizi (b0260) 2009; 40
Naderpour, Fakharian (b0140) 2016; 20
Fahmy, Shaheen, Korany (b0045) 1997; 27
Logan, Shah (b0365) 1973; 70
Mashrei, Abdulrazzaq, Abdalla, Rahman (b0015) 2010; 32
Farlow (b0350) 1984
Rezazadeh Eidgahee, Fasihi, Naderpour (b0115) 2015; 31
Wang, Man, Jin (b0220) 2015; 84
Rezazadeh Eidgahee, Haddad, Naderpour (b0360) 2018
Battaini, Casciati, Faravelli (b0235) 1998; 27
Maru, Nagpal (b0215) 2004; 18
Naderpour, Alavi (b0280) 2017; 170
Oh, Lee, Kim, Lee (b0180) 1999; 96
Behfarnia, Khademi (b0285) 2017; 7
Rezazadeh Eidgahee, Rafiean, Haddad (b0165) 2019
Naderpour, Fakharian (b0225) 2017
Adeli (10.1016/j.jestch.2019.05.013_b0145) 1995; 57
Behfarnia (10.1016/j.jestch.2019.05.013_b0285) 2017; 7
Paramasivam (10.1016/j.jestch.2019.05.013_b0380) 1985; 15
Alwash (10.1016/j.jestch.2019.05.013_b0370) 1974
Mansur (10.1016/j.jestch.2019.05.013_b0090) 1988; 18
Demir (10.1016/j.jestch.2019.05.013_b0195) 2008; 22
Oh (10.1016/j.jestch.2019.05.013_b0180) 1999; 96
Topçu (10.1016/j.jestch.2019.05.013_b0270) 2008; 22
Guven (10.1016/j.jestch.2019.05.013_b0300) 2012; 65
Gandomi (10.1016/j.jestch.2019.05.013_b0315) 2013
Rezazadeh Eidgahee (10.1016/j.jestch.2019.05.013_b0360) 2018
10.1016/j.jestch.2019.05.013_b0005
Audu (10.1016/j.jestch.2019.05.013_b0010) 2015; 3
Onet (10.1016/j.jestch.2019.05.013_b0050) 1992; 22
Sanchez (10.1016/j.jestch.2019.05.013_b0120) 1997; 7
Rafeeqi (10.1016/j.jestch.2019.05.013_b0035) 2011; 12
Ivakhnenko (10.1016/j.jestch.2019.05.013_b0355) 2002; 12
Azamathulla (10.1016/j.jestch.2019.05.013_b0305) 2012; 460–461
Yuan (10.1016/j.jestch.2019.05.013_b0255) 2014; 67
Ferreira (10.1016/j.jestch.2019.05.013_b0290) 2001
Bansal (10.1016/j.jestch.2019.05.013_b0040) 2014; 5
Hanna (10.1016/j.jestch.2019.05.013_b0105) 2007; 24
Gandomi (10.1016/j.jestch.2019.05.013_b0095) 2013; 57
Wu (10.1016/j.jestch.2019.05.013_b0135) 1992; 42
Seshu (10.1016/j.jestch.2019.05.013_b0060) 2001; 31
Naderpour (10.1016/j.jestch.2019.05.013_b0320) 2019; 215
Naderpour (10.1016/j.jestch.2019.05.013_b0140) 2016; 20
Kaish (10.1016/j.jestch.2019.05.013_b0065) 2018; 160
Topçu (10.1016/j.jestch.2019.05.013_b0275) 2008; 42
Bingöl (10.1016/j.jestch.2019.05.013_b0185) 2013; 52
Naderpour (10.1016/j.jestch.2019.05.013_b0160) 2010; 92
Farlow (10.1016/j.jestch.2019.05.013_b0350) 1984
Topçu (10.1016/j.jestch.2019.05.013_b0265) 2008; 41
Pourzeynali (10.1016/j.jestch.2019.05.013_b0240) 2007; 29
Haj-Ali (10.1016/j.jestch.2019.05.013_b0210) 2001; 98
Padmini (10.1016/j.jestch.2019.05.013_b0110) 2008; 35
Åström (10.1016/j.jestch.2019.05.013_b0100) 1971; 7
Torkian (10.1016/j.jestch.2019.05.013_b0250) 2018
Öztaş (10.1016/j.jestch.2019.05.013_b0200) 2006; 20
Fakharian (10.1016/j.jestch.2019.05.013_b0310) 2018
Ivakhnenko (10.1016/j.jestch.2019.05.013_b0345) 1971; 1
Tam (10.1016/j.jestch.2019.05.013_b0170) 1999; 96
Wang (10.1016/j.jestch.2019.05.013_b0220) 2015; 84
Naderpour (10.1016/j.jestch.2019.05.013_b0205) 2018; 16
Naderpour (10.1016/j.jestch.2019.05.013_b0280) 2017; 170
Rajasekaran (10.1016/j.jestch.2019.05.013_b0245) 1996; 61
Maru (10.1016/j.jestch.2019.05.013_b0215) 2004; 18
Azimi (10.1016/j.jestch.2019.05.013_b0340) 2017; 1
Özcan (10.1016/j.jestch.2019.05.013_b0260) 2009; 40
Desayi (10.1016/j.jestch.2019.05.013_b0385) 1991; 13
Ong (10.1016/j.jestch.2019.05.013_b0055) 1992; 22
10.1016/j.jestch.2019.05.013_b0020
Rezazadeh Eidgahee (10.1016/j.jestch.2019.05.013_b0115) 2015; 31
Chen (10.1016/j.jestch.2019.05.013_b0150) 1995; 9
Fahmy (10.1016/j.jestch.2019.05.013_b0045) 1997; 27
Battaini (10.1016/j.jestch.2019.05.013_b0235) 1998; 27
Logan (10.1016/j.jestch.2019.05.013_b0365) 1973; 70
Waliuddin (10.1016/j.jestch.2019.05.013_b0030) 1994; 24
Quek (10.1016/j.jestch.2019.05.013_b0080) 1991; 3
Sarıdemir (10.1016/j.jestch.2019.05.013_b0190) 2009; 23
Azamathulla (10.1016/j.jestch.2019.05.013_b0295) 2013; 23
Madandoust (10.1016/j.jestch.2019.05.013_b0125) 2010; 49
Sarma (10.1016/j.jestch.2019.05.013_b0175) 2002; 55
Balaguru (10.1016/j.jestch.2019.05.013_b0375) 1977; 103
Khan (10.1016/j.jestch.2019.05.013_b0070) 2013; 37
Naaman (10.1016/j.jestch.2019.05.013_b0330) 1986; 16
Rezazadeh Eidgahee (10.1016/j.jestch.2019.05.013_b0165) 2019
Mashrei (10.1016/j.jestch.2019.05.013_b0015) 2010; 32
Naaman (10.1016/j.jestch.2019.05.013_b0075) 2000
Zhang (10.1016/j.jestch.2019.05.013_b0230) 2013
Adeli (10.1016/j.jestch.2019.05.013_b0130) 2001; 16
Naderpour (10.1016/j.jestch.2019.05.013_b0225) 2017
Mansur (10.1016/j.jestch.2019.05.013_b0325) 1986; 16
Paramasivam (10.1016/j.jestch.2019.05.013_b0085) 1988; 85
Madala (10.1016/j.jestch.2019.05.013_b0335) 1994
Eskandari (10.1016/j.jestch.2019.05.013_b0025) 2015; 18
Ghaboussi (10.1016/j.jestch.2019.05.013_b0155) 1991; 117
References_xml – volume: 1
  start-page: 86
  year: 2017
  end-page: 92
  ident: b0340
  article-title: GMDH-network to estimate the punching capacity of FRP-RC slabs
  publication-title: Soft Comput. Civ. Eng.
– volume: 23
  start-page: 1421
  year: 2013
  end-page: 1426
  ident: b0295
  article-title: Gene-expression programming to predict friction factor for Southern Italian rivers
  publication-title: Neural. Comput. Appl.
– volume: 22
  start-page: 532
  year: 2008
  end-page: 540
  ident: b0270
  article-title: Prediction of rubberized concrete properties using artificial neural network and fuzzy logic
  publication-title: Constr. Build. Mater.
– year: 2018
  ident: b0360
  article-title: Evaluation of shear strength parameters of granulated waste rubber using artificial neural networks and group method of data handling
  publication-title: Sci. Iran.
– volume: 61
  start-page: 291
  year: 1996
  end-page: 302
  ident: b0245
  article-title: Artificial fuzzy neural networks in civil engineering
  publication-title: Comput. Struct.
– volume: 55
  start-page: 1451
  year: 2002
  end-page: 1462
  ident: b0175
  article-title: Life-cycle cost optimization of steel structures
  publication-title: Int. J. Numer. Meth. Eng.
– volume: 65
  start-page: 1982
  year: 2012
  ident: b0300
  article-title: Gene-expression programming for flip-bucket spillway scour
  publication-title: Water Sci. Technol.
– volume: 16
  start-page: 126
  year: 2001
  end-page: 142
  ident: b0130
  article-title: Neural networks in civil engineering: 1989–2000
  publication-title: Comput. Civ. Infrastruct. Eng.
– volume: 18
  start-page: 769
  year: 2015
  end-page: 775
  ident: b0025
  article-title: Investigation of ferrocement channels using experimental and finite element analysis
  publication-title: Eng. Sci. Technol. Int. J.
– volume: 22
  start-page: 1
  year: 1992
  end-page: 16
  ident: b0050
  article-title: Aspects concerning the behaviour of ferrocement in flexure
  publication-title: J. Ferrocem.
– volume: 96
  year: 1999
  ident: b0170
  article-title: Comparative cost analysis of using high-performance concrete in tall building construction by artificial neural networks
  publication-title: ACI Struct. J.
– volume: 57
  start-page: 383
  year: 1995
  end-page: 390
  ident: b0145
  article-title: A neural dynamics model for structural optimization – theory
  publication-title: Comput. Struct.
– volume: 117
  start-page: 132
  year: 1991
  end-page: 153
  ident: b0155
  article-title: Knowledge-Based modeling of material behavior with neural networks
  publication-title: J. Eng. Mech.
– volume: 15
  start-page: 25
  year: 1985
  end-page: 33
  ident: b0380
  article-title: Flexural behaviour of lightweight ferrocement slabs
  publication-title: J. Ferrocem.
– volume: 3
  start-page: 263
  year: 1991
  end-page: 277
  ident: b0080
  article-title: Uncertainty in flexural capacity prediction of ferrocement elements
  publication-title: J. Mater. Civ. Eng.
– volume: 29
  start-page: 346
  year: 2007
  end-page: 357
  ident: b0240
  article-title: Active control of high rise building structures using fuzzy logic and genetic algorithms
  publication-title: Eng. Struct.
– volume: 13
  start-page: 13
  year: 1991
  end-page: 20
  ident: b0385
  article-title: Strength of ligthweight ferrocement in flexure
  publication-title: Cem. Concr. Compos.
– volume: 32
  start-page: 1723
  year: 2010
  end-page: 1734
  ident: b0015
  article-title: Neural networks model and adaptive neuro-fuzzy inference system for predicting the moment capacity of ferrocement members
  publication-title: Eng. Struct.
– volume: 22
  start-page: 331
  year: 1992
  ident: b0055
  article-title: Flexural strengthening of reinforced concrete beams using ferrocement laminates
  publication-title: J. Ferrocem.
– volume: 85
  start-page: 3
  year: 1988
  end-page: 11
  ident: b0085
  article-title: Effect of arrangements of reinforcements on mechanical properties of ferrocement
  publication-title: Struct. J.
– volume: 24
  start-page: 5
  year: 2007
  end-page: 16
  ident: b0105
  article-title: Evaluation of liquefaction potential of soil deposits using artificial neural networks
  publication-title: Eng. Comput.
– volume: 7
  year: 1997
  ident: b0120
  article-title: Genetic algorithms and fuzzy logic systems: soft computing perspectives (advances in fuzzy systems-applications and theory
  publication-title: Soft Comput. Perspect.
– volume: 18
  start-page: 385
  year: 1988
  end-page: 395
  ident: b0090
  article-title: Ultimate strength design of ferrocement in flexure
  publication-title: J. Ferrocem.
– volume: 42
  start-page: 74
  year: 2008
  end-page: 82
  ident: b0275
  article-title: Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic
  publication-title: Comput. Mater. Sci.
– volume: 31
  start-page: 53
  year: 2001
  end-page: 63
  ident: b0060
  article-title: Flexural strength assessment of ferrocement confined reinforced concrete (FCRC) beams
  publication-title: J. Ferrocem.
– year: 2017
  ident: b0225
  article-title: Predicting the torsional strength of reinforced concrete beams strengthened with FRP sheets in terms of artificial neural networks
  publication-title: J. Struct. Constr. Eng.
– volume: 160
  start-page: 326
  year: 2018
  end-page: 340
  ident: b0065
  article-title: Ferrocement composites for strengthening of concrete columns: a review
  publication-title: Constr. Build. Mater.
– volume: 20
  start-page: 2859
  year: 2016
  end-page: 2867
  ident: b0140
  article-title: A synthesis of peak picking method and wavelet packet transform for structural modal identification
  publication-title: KSCE J. Civ. Eng.
– volume: 16
  year: 2018
  ident: b0205
  article-title: Compressive strength prediction of environmentally friendly concrete using artificial neural networks
  publication-title: J. Build. Eng.
– volume: 27
  start-page: 1267
  year: 1998
  end-page: 1276
  ident: b0235
  article-title: Fuzzy control of structural vibration. An active mass system driven by a fuzzy controller
  publication-title: Earthq. Eng. Struct. Dyn.
– volume: 20
  start-page: 769
  year: 2006
  end-page: 775
  ident: b0200
  article-title: Predicting the compressive strength and slump of high strength concrete using neural network
  publication-title: Constr. Build. Mater.
– start-page: 439
  year: 2013
  end-page: 455
  ident: b0315
  article-title: Expression Programming Techniques for Formulation of Structural Engineering Systems
  publication-title: Metaheuristic Appl Struct Infrastructures
– year: 2019
  ident: b0165
  article-title: A novel formulation for the compressive strength of ibp-based geopolymer stabilized clayey soils using ANN and GMDH-NN approaches
  publication-title: Iran J. Sci. Technol. Trans. Civ. Eng.
– volume: 5
  start-page: 8
  year: 2014
  end-page: 19
  ident: b0040
  article-title: Effect of wire mesh orientation on strength of beams retrofitted using ferrocement Jackets
  publication-title: Int. J.
– start-page: 1
  year: 2018
  end-page: 11
  ident: b0250
  article-title: Determining the drift in reinforced concrete building using ANFIS soft computing modeling
– volume: 7
  start-page: 123
  year: 1971
  end-page: 162
  ident: b0100
  article-title: System identification – a survey
  publication-title: Automatica.
– volume: 7
  start-page: 71
  year: 2017
  end-page: 80
  ident: b0285
  article-title: A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system
  publication-title: Iran Univ. Sci. Technol.
– volume: 42
  start-page: 649
  year: 1992
  end-page: 659
  ident: b0135
  article-title: Use of neural networks in detection of structural damage
  publication-title: Comput. Struct.
– volume: 92
  start-page: 2817
  year: 2010
  end-page: 2829
  ident: b0160
  article-title: Prediction of FRP-confined compressive strength of concrete using artificial neural networks
  publication-title: Compos. Struct.
– volume: 49
  start-page: 556
  year: 2010
  end-page: 567
  ident: b0125
  article-title: Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV
  publication-title: Comput. Mater. Sci.
– volume: 37
  start-page: 353
  year: 2013
  end-page: 365
  ident: b0070
  article-title: Strengthening of rc beams in flexure using ferrocement
  publication-title: Iran. J. Sci. Technol. – Trans. Civ. Eng.
– volume: 41
  start-page: 305
  year: 2008
  end-page: 311
  ident: b0265
  article-title: Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
  publication-title: Comput. Mater. Sci.
– volume: 40
  start-page: 856
  year: 2009
  end-page: 863
  ident: b0260
  article-title: Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
  publication-title: Adv. Eng. Softw.
– volume: 170
  start-page: 215
  year: 2017
  end-page: 227
  ident: b0280
  article-title: A proposed model to estimate shear contribution of FRP in strengthened RC beams in terms of adaptive neuro-fuzzy inference system
  publication-title: Compos. Struct.
– year: 2000
  ident: b0075
  article-title: Ferrocement and Laminated Cementitious Composites
– year: 2013
  ident: b0230
  publication-title: Fuzzy mathematics and rough set theory
– volume: 103
  start-page: 1937
  year: 1977
  end-page: 1951
  ident: b0375
  article-title: Analysis and behavior of ferrocement in flexure
  publication-title: ASCE J. Struct. Div.
– volume: 24
  start-page: 139
  year: 1994
  end-page: 151
  ident: b0030
  article-title: Study of the behavior of plain concrete confined with ferrocement
  publication-title: J. Ferrocem.
– start-page: 87
  year: 2001
  end-page: 129
  ident: b0290
  article-title: Gene expression programming: a new adaptive algorithm
– volume: 18
  start-page: 350
  year: 2004
  end-page: 359
  ident: b0215
  article-title: Neural network for creep and shrinkage deflections in reinforced concrete frames
  publication-title: J. Comput. Civ. Eng.
– year: 2018
  ident: b0310
  article-title: A proposed model for compressive strength prediction of FRP-confined rectangular columns in terms of genetic expression programming (GEP)
  publication-title: Concr. Res.
– year: 1974
  ident: b0370
  article-title: Flexural Characteristics of Ferrocement
– volume: 16
  start-page: 405
  year: 1986
  end-page: 415
  ident: b0325
  article-title: Cracking behavior and ultimate strength of ferrocement in flexure
  publication-title: J. Ferrocem.
– volume: 460–461
  start-page: 156
  year: 2012
  end-page: 159
  ident: b0305
  article-title: Gene expression programming for prediction of scour depth downstream of sills
  publication-title: J. Hydrol.
– volume: 22
  start-page: 1428
  year: 2008
  end-page: 1435
  ident: b0195
  article-title: Prediction of elastic modulus of normal and high strength concrete by artificial neural networks
  publication-title: Constr. Build. Mater.
– year: 1984
  ident: b0350
  article-title: Self-organizing Methods in Modeling: GMDH Type Algorithms
– volume: 12
  start-page: 337
  year: 2011
  end-page: 352
  ident: b0035
  article-title: Investigation of versatility of theoretical prediction models for plain concrete confined with Ferrocement
  publication-title: Asian J. Civ. Eng.
– volume: 9
  start-page: 168
  year: 1995
  end-page: 176
  ident: b0150
  article-title: Neural network for structure control
  publication-title: J. Comput. Civ. Eng.
– volume: 215
  start-page: 69
  year: 2019
  end-page: 84
  ident: b0320
  article-title: Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods
  publication-title: Compos. Struct.
– volume: 1
  start-page: 364
  year: 1971
  end-page: 378
  ident: b0345
  article-title: Polynomial theory of complex systems
  publication-title: IEEE Trans. Syst. Man. Cybern.
– reference: ACI 549.1R-93: Guide for the Design, Construction & Repair of Ferrocement, n.d.
– volume: 98
  year: 2001
  ident: b0210
  article-title: Neural network modeling of concrete expansion during long-term sulfate exposure
  publication-title: ACI Mater. J.
– volume: 67
  start-page: 156
  year: 2014
  end-page: 163
  ident: b0255
  article-title: Prediction of concrete compressive strength: research on hybrid models genetic based algorithms and ANFIS
  publication-title: Adv. Eng. Softw.
– volume: 16
  start-page: 101
  year: 1986
  end-page: 116
  ident: b0330
  article-title: Flexural design of ferrocement: computerized evaluation and design aids
  publication-title: J. Ferrocem.
– year: 1994
  ident: b0335
  article-title: Inductive Learning Algorithms for Complex Systems Modeling
– volume: 31
  start-page: 105
  year: 2015
  end-page: 111
  ident: b0115
  article-title: Optimized artificial neural network for analyzing soil-waste rubber shred mixtures
  publication-title: Sharif. J. Civ. Eng.
– reference: J.C. Adajar, T. Hogue, C. Jordan, Ferrocement for hurricane–prone state of Florida, in: Struct Faults + Repair – 2006, Edinburgh, Scotland, UK, 2006.
– volume: 35
  start-page: 33
  year: 2008
  end-page: 46
  ident: b0110
  article-title: Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models
  publication-title: Comput. Geotech.
– volume: 12
  start-page: 347
  year: 2002
  end-page: 353
  ident: b0355
  article-title: GMDH algorithm for optimal model choice by the external error criterion with the extension of definition by model bias and its applications to committees and neural networks
  publication-title: Pattern Recognit Image Anal C/C Raspoznavaniye Obraz I Anal Izobr.
– volume: 57
  start-page: 169
  year: 2013
  end-page: 176
  ident: b0095
  article-title: Genetic programming for moment capacity modeling of ferrocement members
  publication-title: Eng. Struct.
– volume: 84
  start-page: 184
  year: 2015
  end-page: 191
  ident: b0220
  article-title: Prediction of expansion behavior of self-stressing concrete by artificial neural networks and fuzzy inference systems
  publication-title: Constr. Build. Mater.
– volume: 96
  year: 1999
  ident: b0180
  article-title: Application of neural networks for proportioning of concrete mixes
  publication-title: ACI Mater. J.
– volume: 23
  start-page: 1279
  year: 2009
  end-page: 1286
  ident: b0190
  article-title: Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic
  publication-title: Constr. Build. Mater.
– volume: 27
  start-page: 19
  year: 1997
  end-page: 32
  ident: b0045
  article-title: Repairing reinforced concrete beams by ferrocement
  publication-title: J. Ferrocem.
– volume: 70
  start-page: 799
  year: 1973
  end-page: 804
  ident: b0365
  article-title: Moment capacity and cracking behavior of ferrocement in flexure
  publication-title: J. Am. Concr. Inst.
– volume: 52
  start-page: 258
  year: 2013
  end-page: 264
  ident: b0185
  article-title: Neural networks analysis of compressive strength of lightweight concrete after high temperatures
  publication-title: Mater. Des.
– volume: 3
  start-page: 182
  year: 2015
  end-page: 189
  ident: b0010
  article-title: Comparative studies of engineering properties of ferrocement and fibrecement material
  publication-title: Int. J. Curr. Res. Acad. Rev.
– volume: 31
  start-page: 105
  issue: 2
  year: 2015
  ident: 10.1016/j.jestch.2019.05.013_b0115
  article-title: Optimized artificial neural network for analyzing soil-waste rubber shred mixtures
  publication-title: Sharif. J. Civ. Eng.
– volume: 23
  start-page: 1421
  year: 2013
  ident: 10.1016/j.jestch.2019.05.013_b0295
  article-title: Gene-expression programming to predict friction factor for Southern Italian rivers
  publication-title: Neural. Comput. Appl.
  doi: 10.1007/s00521-012-1091-2
– ident: 10.1016/j.jestch.2019.05.013_b0005
– start-page: 87
  year: 2001
  ident: 10.1016/j.jestch.2019.05.013_b0290
– volume: 24
  start-page: 139
  year: 1994
  ident: 10.1016/j.jestch.2019.05.013_b0030
  article-title: Study of the behavior of plain concrete confined with ferrocement
  publication-title: J. Ferrocem.
– volume: 27
  start-page: 1267
  year: 1998
  ident: 10.1016/j.jestch.2019.05.013_b0235
  article-title: Fuzzy control of structural vibration. An active mass system driven by a fuzzy controller
  publication-title: Earthq. Eng. Struct. Dyn.
  doi: 10.1002/(SICI)1096-9845(1998110)27:11<1267::AID-EQE782>3.0.CO;2-D
– volume: 22
  start-page: 1
  year: 1992
  ident: 10.1016/j.jestch.2019.05.013_b0050
  article-title: Aspects concerning the behaviour of ferrocement in flexure
  publication-title: J. Ferrocem.
– volume: 3
  start-page: 263
  year: 1991
  ident: 10.1016/j.jestch.2019.05.013_b0080
  article-title: Uncertainty in flexural capacity prediction of ferrocement elements
  publication-title: J. Mater. Civ. Eng.
  doi: 10.1061/(ASCE)0899-1561(1991)3:4(263)
– year: 2017
  ident: 10.1016/j.jestch.2019.05.013_b0225
  article-title: Predicting the torsional strength of reinforced concrete beams strengthened with FRP sheets in terms of artificial neural networks
  publication-title: J. Struct. Constr. Eng.
– year: 2018
  ident: 10.1016/j.jestch.2019.05.013_b0310
  article-title: A proposed model for compressive strength prediction of FRP-confined rectangular columns in terms of genetic expression programming (GEP)
  publication-title: Concr. Res.
– volume: 5
  start-page: 8
  year: 2014
  ident: 10.1016/j.jestch.2019.05.013_b0040
  article-title: Effect of wire mesh orientation on strength of beams retrofitted using ferrocement Jackets
  publication-title: Int. J.
– volume: 37
  start-page: 353
  year: 2013
  ident: 10.1016/j.jestch.2019.05.013_b0070
  article-title: Strengthening of rc beams in flexure using ferrocement
  publication-title: Iran. J. Sci. Technol. – Trans. Civ. Eng.
– volume: 96
  year: 1999
  ident: 10.1016/j.jestch.2019.05.013_b0180
  article-title: Application of neural networks for proportioning of concrete mixes
  publication-title: ACI Mater. J.
– year: 2018
  ident: 10.1016/j.jestch.2019.05.013_b0360
  article-title: Evaluation of shear strength parameters of granulated waste rubber using artificial neural networks and group method of data handling
  publication-title: Sci. Iran.
– volume: 32
  start-page: 1723
  year: 2010
  ident: 10.1016/j.jestch.2019.05.013_b0015
  article-title: Neural networks model and adaptive neuro-fuzzy inference system for predicting the moment capacity of ferrocement members
  publication-title: Eng. Struct.
  doi: 10.1016/j.engstruct.2010.02.024
– volume: 18
  start-page: 385
  year: 1988
  ident: 10.1016/j.jestch.2019.05.013_b0090
  article-title: Ultimate strength design of ferrocement in flexure
  publication-title: J. Ferrocem.
– year: 2000
  ident: 10.1016/j.jestch.2019.05.013_b0075
– volume: 70
  start-page: 799
  year: 1973
  ident: 10.1016/j.jestch.2019.05.013_b0365
  article-title: Moment capacity and cracking behavior of ferrocement in flexure
  publication-title: J. Am. Concr. Inst.
– start-page: 1
  year: 2018
  ident: 10.1016/j.jestch.2019.05.013_b0250
– volume: 22
  start-page: 1428
  year: 2008
  ident: 10.1016/j.jestch.2019.05.013_b0195
  article-title: Prediction of elastic modulus of normal and high strength concrete by artificial neural networks
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2007.04.004
– year: 1974
  ident: 10.1016/j.jestch.2019.05.013_b0370
– volume: 42
  start-page: 649
  year: 1992
  ident: 10.1016/j.jestch.2019.05.013_b0135
  article-title: Use of neural networks in detection of structural damage
  publication-title: Comput. Struct.
  doi: 10.1016/0045-7949(92)90132-J
– year: 2019
  ident: 10.1016/j.jestch.2019.05.013_b0165
  article-title: A novel formulation for the compressive strength of ibp-based geopolymer stabilized clayey soils using ANN and GMDH-NN approaches
  publication-title: Iran J. Sci. Technol. Trans. Civ. Eng.
– volume: 24
  start-page: 5
  year: 2007
  ident: 10.1016/j.jestch.2019.05.013_b0105
  article-title: Evaluation of liquefaction potential of soil deposits using artificial neural networks
  publication-title: Eng. Comput.
  doi: 10.1108/02644400710718547
– volume: 61
  start-page: 291
  year: 1996
  ident: 10.1016/j.jestch.2019.05.013_b0245
  article-title: Artificial fuzzy neural networks in civil engineering
  publication-title: Comput. Struct.
  doi: 10.1016/0045-7949(96)00044-2
– volume: 18
  start-page: 769
  year: 2015
  ident: 10.1016/j.jestch.2019.05.013_b0025
  article-title: Investigation of ferrocement channels using experimental and finite element analysis
  publication-title: Eng. Sci. Technol. Int. J.
– volume: 9
  start-page: 168
  year: 1995
  ident: 10.1016/j.jestch.2019.05.013_b0150
  article-title: Neural network for structure control
  publication-title: J. Comput. Civ. Eng.
  doi: 10.1061/(ASCE)0887-3801(1995)9:2(168)
– volume: 22
  start-page: 331
  year: 1992
  ident: 10.1016/j.jestch.2019.05.013_b0055
  article-title: Flexural strengthening of reinforced concrete beams using ferrocement laminates
  publication-title: J. Ferrocem.
– volume: 13
  start-page: 13
  year: 1991
  ident: 10.1016/j.jestch.2019.05.013_b0385
  article-title: Strength of ligthweight ferrocement in flexure
  publication-title: Cem. Concr. Compos.
  doi: 10.1016/0958-9465(91)90042-G
– volume: 29
  start-page: 346
  year: 2007
  ident: 10.1016/j.jestch.2019.05.013_b0240
  article-title: Active control of high rise building structures using fuzzy logic and genetic algorithms
  publication-title: Eng. Struct.
  doi: 10.1016/j.engstruct.2006.04.015
– volume: 52
  start-page: 258
  year: 2013
  ident: 10.1016/j.jestch.2019.05.013_b0185
  article-title: Neural networks analysis of compressive strength of lightweight concrete after high temperatures
  publication-title: Mater. Des.
  doi: 10.1016/j.matdes.2013.05.022
– volume: 23
  start-page: 1279
  year: 2009
  ident: 10.1016/j.jestch.2019.05.013_b0190
  article-title: Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2008.07.021
– volume: 55
  start-page: 1451
  year: 2002
  ident: 10.1016/j.jestch.2019.05.013_b0175
  article-title: Life-cycle cost optimization of steel structures
  publication-title: Int. J. Numer. Meth. Eng.
  doi: 10.1002/nme.549
– volume: 7
  start-page: 71
  year: 2017
  ident: 10.1016/j.jestch.2019.05.013_b0285
  article-title: A comprehensive study on the concrete compressive strength estimation using artificial neural network and adaptive neuro-fuzzy inference system
  publication-title: Iran Univ. Sci. Technol.
– volume: 16
  year: 2018
  ident: 10.1016/j.jestch.2019.05.013_b0205
  article-title: Compressive strength prediction of environmentally friendly concrete using artificial neural networks
  publication-title: J. Build. Eng.
– volume: 20
  start-page: 769
  year: 2006
  ident: 10.1016/j.jestch.2019.05.013_b0200
  article-title: Predicting the compressive strength and slump of high strength concrete using neural network
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2005.01.054
– volume: 40
  start-page: 856
  year: 2009
  ident: 10.1016/j.jestch.2019.05.013_b0260
  article-title: Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2009.01.005
– volume: 1
  start-page: 86
  year: 2017
  ident: 10.1016/j.jestch.2019.05.013_b0340
  article-title: GMDH-network to estimate the punching capacity of FRP-RC slabs
  publication-title: Soft Comput. Civ. Eng.
– volume: 12
  start-page: 347
  year: 2002
  ident: 10.1016/j.jestch.2019.05.013_b0355
  article-title: GMDH algorithm for optimal model choice by the external error criterion with the extension of definition by model bias and its applications to committees and neural networks
  publication-title: Pattern Recognit Image Anal C/C Raspoznavaniye Obraz I Anal Izobr.
– volume: 3
  start-page: 182
  year: 2015
  ident: 10.1016/j.jestch.2019.05.013_b0010
  article-title: Comparative studies of engineering properties of ferrocement and fibrecement material
  publication-title: Int. J. Curr. Res. Acad. Rev.
– volume: 7
  year: 1997
  ident: 10.1016/j.jestch.2019.05.013_b0120
  article-title: Genetic algorithms and fuzzy logic systems: soft computing perspectives (advances in fuzzy systems-applications and theory
  publication-title: Soft Comput. Perspect.
– volume: 7
  start-page: 123
  year: 1971
  ident: 10.1016/j.jestch.2019.05.013_b0100
  article-title: System identification – a survey
  publication-title: Automatica.
  doi: 10.1016/0005-1098(71)90059-8
– year: 2013
  ident: 10.1016/j.jestch.2019.05.013_b0230
  publication-title: Fuzzy mathematics and rough set theory
– volume: 41
  start-page: 305
  year: 2008
  ident: 10.1016/j.jestch.2019.05.013_b0265
  article-title: Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
  publication-title: Comput. Mater. Sci.
  doi: 10.1016/j.commatsci.2007.04.009
– volume: 35
  start-page: 33
  year: 2008
  ident: 10.1016/j.jestch.2019.05.013_b0110
  article-title: Ultimate bearing capacity prediction of shallow foundations on cohesionless soils using neurofuzzy models
  publication-title: Comput. Geotech.
  doi: 10.1016/j.compgeo.2007.03.001
– volume: 49
  start-page: 556
  year: 2010
  ident: 10.1016/j.jestch.2019.05.013_b0125
  article-title: Evolutionary design of generalized GMDH-type neural network for prediction of concrete compressive strength using UPV
  publication-title: Comput. Mater. Sci.
  doi: 10.1016/j.commatsci.2010.05.050
– volume: 460–461
  start-page: 156
  year: 2012
  ident: 10.1016/j.jestch.2019.05.013_b0305
  article-title: Gene expression programming for prediction of scour depth downstream of sills
  publication-title: J. Hydrol.
  doi: 10.1016/j.jhydrol.2012.06.034
– volume: 27
  start-page: 19
  year: 1997
  ident: 10.1016/j.jestch.2019.05.013_b0045
  article-title: Repairing reinforced concrete beams by ferrocement
  publication-title: J. Ferrocem.
– volume: 96
  year: 1999
  ident: 10.1016/j.jestch.2019.05.013_b0170
  article-title: Comparative cost analysis of using high-performance concrete in tall building construction by artificial neural networks
  publication-title: ACI Struct. J.
– volume: 84
  start-page: 184
  year: 2015
  ident: 10.1016/j.jestch.2019.05.013_b0220
  article-title: Prediction of expansion behavior of self-stressing concrete by artificial neural networks and fuzzy inference systems
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2015.03.059
– volume: 16
  start-page: 405
  year: 1986
  ident: 10.1016/j.jestch.2019.05.013_b0325
  article-title: Cracking behavior and ultimate strength of ferrocement in flexure
  publication-title: J. Ferrocem.
– volume: 42
  start-page: 74
  year: 2008
  ident: 10.1016/j.jestch.2019.05.013_b0275
  article-title: Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic
  publication-title: Comput. Mater. Sci.
  doi: 10.1016/j.commatsci.2007.06.011
– year: 1984
  ident: 10.1016/j.jestch.2019.05.013_b0350
– volume: 18
  start-page: 350
  year: 2004
  ident: 10.1016/j.jestch.2019.05.013_b0215
  article-title: Neural network for creep and shrinkage deflections in reinforced concrete frames
  publication-title: J. Comput. Civ. Eng.
  doi: 10.1061/(ASCE)0887-3801(2004)18:4(350)
– volume: 16
  start-page: 126
  year: 2001
  ident: 10.1016/j.jestch.2019.05.013_b0130
  article-title: Neural networks in civil engineering: 1989–2000
  publication-title: Comput. Civ. Infrastruct. Eng.
  doi: 10.1111/0885-9507.00219
– volume: 12
  start-page: 337
  year: 2011
  ident: 10.1016/j.jestch.2019.05.013_b0035
  article-title: Investigation of versatility of theoretical prediction models for plain concrete confined with Ferrocement
  publication-title: Asian J. Civ. Eng.
– volume: 22
  start-page: 532
  year: 2008
  ident: 10.1016/j.jestch.2019.05.013_b0270
  article-title: Prediction of rubberized concrete properties using artificial neural network and fuzzy logic
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2006.11.007
– volume: 65
  start-page: 1982
  year: 2012
  ident: 10.1016/j.jestch.2019.05.013_b0300
  article-title: Gene-expression programming for flip-bucket spillway scour
  publication-title: Water Sci. Technol.
  doi: 10.2166/wst.2012.100
– volume: 170
  start-page: 215
  year: 2017
  ident: 10.1016/j.jestch.2019.05.013_b0280
  article-title: A proposed model to estimate shear contribution of FRP in strengthened RC beams in terms of adaptive neuro-fuzzy inference system
  publication-title: Compos. Struct.
  doi: 10.1016/j.compstruct.2017.03.028
– volume: 1
  start-page: 364
  year: 1971
  ident: 10.1016/j.jestch.2019.05.013_b0345
  article-title: Polynomial theory of complex systems
  publication-title: IEEE Trans. Syst. Man. Cybern.
  doi: 10.1109/TSMC.1971.4308320
– volume: 215
  start-page: 69
  year: 2019
  ident: 10.1016/j.jestch.2019.05.013_b0320
  article-title: Innovative models for prediction of compressive strength of FRP-confined circular reinforced concrete columns using soft computing methods
  publication-title: Compos. Struct.
  doi: 10.1016/j.compstruct.2019.02.048
– volume: 20
  start-page: 2859
  year: 2016
  ident: 10.1016/j.jestch.2019.05.013_b0140
  article-title: A synthesis of peak picking method and wavelet packet transform for structural modal identification
  publication-title: KSCE J. Civ. Eng.
  doi: 10.1007/s12205-016-0523-4
– volume: 92
  start-page: 2817
  year: 2010
  ident: 10.1016/j.jestch.2019.05.013_b0160
  article-title: Prediction of FRP-confined compressive strength of concrete using artificial neural networks
  publication-title: Compos. Struct.
  doi: 10.1016/j.compstruct.2010.04.008
– volume: 160
  start-page: 326
  year: 2018
  ident: 10.1016/j.jestch.2019.05.013_b0065
  article-title: Ferrocement composites for strengthening of concrete columns: a review
  publication-title: Constr. Build. Mater.
  doi: 10.1016/j.conbuildmat.2017.11.054
– ident: 10.1016/j.jestch.2019.05.013_b0020
– volume: 85
  start-page: 3
  year: 1988
  ident: 10.1016/j.jestch.2019.05.013_b0085
  article-title: Effect of arrangements of reinforcements on mechanical properties of ferrocement
  publication-title: Struct. J.
– volume: 57
  start-page: 383
  year: 1995
  ident: 10.1016/j.jestch.2019.05.013_b0145
  article-title: A neural dynamics model for structural optimization – theory
  publication-title: Comput. Struct.
  doi: 10.1016/0045-7949(95)00048-L
– year: 1994
  ident: 10.1016/j.jestch.2019.05.013_b0335
– volume: 103
  start-page: 1937
  year: 1977
  ident: 10.1016/j.jestch.2019.05.013_b0375
  article-title: Analysis and behavior of ferrocement in flexure
  publication-title: ASCE J. Struct. Div.
  doi: 10.1061/JSDEAG.0004744
– start-page: 439
  year: 2013
  ident: 10.1016/j.jestch.2019.05.013_b0315
  article-title: Expression Programming Techniques for Formulation of Structural Engineering Systems
– volume: 31
  start-page: 53
  year: 2001
  ident: 10.1016/j.jestch.2019.05.013_b0060
  article-title: Flexural strength assessment of ferrocement confined reinforced concrete (FCRC) beams
  publication-title: J. Ferrocem.
– volume: 57
  start-page: 169
  year: 2013
  ident: 10.1016/j.jestch.2019.05.013_b0095
  article-title: Genetic programming for moment capacity modeling of ferrocement members
  publication-title: Eng. Struct.
  doi: 10.1016/j.engstruct.2013.09.022
– volume: 98
  year: 2001
  ident: 10.1016/j.jestch.2019.05.013_b0210
  article-title: Neural network modeling of concrete expansion during long-term sulfate exposure
  publication-title: ACI Mater. J.
– volume: 117
  start-page: 132
  year: 1991
  ident: 10.1016/j.jestch.2019.05.013_b0155
  article-title: Knowledge-Based modeling of material behavior with neural networks
  publication-title: J. Eng. Mech.
– volume: 16
  start-page: 101
  year: 1986
  ident: 10.1016/j.jestch.2019.05.013_b0330
  article-title: Flexural design of ferrocement: computerized evaluation and design aids
  publication-title: J. Ferrocem.
– volume: 15
  start-page: 25
  year: 1985
  ident: 10.1016/j.jestch.2019.05.013_b0380
  article-title: Flexural behaviour of lightweight ferrocement slabs
  publication-title: J. Ferrocem.
– volume: 67
  start-page: 156
  year: 2014
  ident: 10.1016/j.jestch.2019.05.013_b0255
  article-title: Prediction of concrete compressive strength: research on hybrid models genetic based algorithms and ANFIS
  publication-title: Adv. Eng. Softw.
  doi: 10.1016/j.advengsoft.2013.09.004
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Snippet Ferrocement composites are widely used as a novel method for many different structural purposes recently. The uniform distribution and the high surface...
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elsevier
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StartPage 382
SubjectTerms Combinatorial algorithm
Concrete
Ferrocement members
Group Method of Data Handling (GMDH)
Moment capacity
Title A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling
URI https://dx.doi.org/10.1016/j.jestch.2019.05.013
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