Skip to main content
Erschienen in: Neural Computing and Applications 2/2013

01.08.2013 | Original Article

RETRACTED ARTICLE: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes

verfasst von: Ali Nazari

Erschienen in: Neural Computing and Applications | Ausgabe 2/2013

Einloggen

Aktivieren Sie unsere intelligente Suche um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In the present work, compressive strength of inorganic polymers (geopolymers) made from seeded fly ash and rice husk bark ash has been predicted by artificial neural networks. Different specimens were subjected to compressive strength tests at 7 and 28 days of curing. One set of the specimens were cured at room temperature until reaching to 7 and 28 days, and the other sets were oven-cured for 36 h at the range of 40–90 °C and then room cured until 7 and 28 days. A model based on artificial neural networks for predicting the compressive strength of the specimens has been presented. To build the model, training and testing using experimental results from 120 specimens were conducted. The data used in the multilayer feed-forward neural networks models are arranged in a format of six input parameters that cover the percentage of fine fly ash in the ashes mixture, the percentage of coarse fly ash in the ashes mixture, the percentage of fine rice husk bark ash in the ashes mixture, the percentage of coarse rice husk bark ash in the ashes mixture, the temperature of curing, and the time of water curing. According to these input parameters, in the neural networks model, the compressive strength of each specimen was predicted. The training and testing results in the neural networks model have shown a strong potential for predicting the compressive strength of the geopolymer specimens.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Wongpa J, Kiattikomol K, Jaturapitakkul C, Chindaprasirt P (2010) Compressive strength, modulus of elasticity, and water permeability of inorganic polymer concrete. Mater Design 31:4748–4754CrossRef Wongpa J, Kiattikomol K, Jaturapitakkul C, Chindaprasirt P (2010) Compressive strength, modulus of elasticity, and water permeability of inorganic polymer concrete. Mater Design 31:4748–4754CrossRef
2.
Zurück zum Zitat Davidovits J (1991) Geopolymers: inorganic polymeric new materials. J Therm Anal 37:1633–1656CrossRef Davidovits J (1991) Geopolymers: inorganic polymeric new materials. J Therm Anal 37:1633–1656CrossRef
3.
Zurück zum Zitat van Jaarsveld JGS, van Deventer JSJ, Lorenzen L (1997) The potential use of geopolymeric materials to immobilise toxic metals. Part I. Theory and applications. Miner Eng 10:659–669CrossRef van Jaarsveld JGS, van Deventer JSJ, Lorenzen L (1997) The potential use of geopolymeric materials to immobilise toxic metals. Part I. Theory and applications. Miner Eng 10:659–669CrossRef
4.
Zurück zum Zitat Álvarez E, Querol X, Plan F, Alastuey A, Moreno N, Izquierdo M, Font O, Moreno T, Diez S, Vázquez E, Barra M (2008) Environmental, physical and structural characterisation of geopolymer matrixes synthesised from coal (co-)combustion fly ashes. J Hazard Mater 154:175–183CrossRef Álvarez E, Querol X, Plan F, Alastuey A, Moreno N, Izquierdo M, Font O, Moreno T, Diez S, Vázquez E, Barra M (2008) Environmental, physical and structural characterisation of geopolymer matrixes synthesised from coal (co-)combustion fly ashes. J Hazard Mater 154:175–183CrossRef
5.
Zurück zum Zitat Sata V, Jaturapitakkul C, Kiattikomol K (2007) Influence of pozzolan from various byproduct materials on mechanical properties of high-strength concrete. Constr Build Mater 21(7):1589–1598CrossRef Sata V, Jaturapitakkul C, Kiattikomol K (2007) Influence of pozzolan from various byproduct materials on mechanical properties of high-strength concrete. Constr Build Mater 21(7):1589–1598CrossRef
6.
Zurück zum Zitat Tangchirapat W, Buranasing R, Jaturapitakkul C, Chindaprasirt P (2008) Influence of rice husk—bark ash on mechanical properties of concrete containing high amount of recycled aggregates. Constr Build Mater 22(8):1812–1819CrossRef Tangchirapat W, Buranasing R, Jaturapitakkul C, Chindaprasirt P (2008) Influence of rice husk—bark ash on mechanical properties of concrete containing high amount of recycled aggregates. Constr Build Mater 22(8):1812–1819CrossRef
7.
Zurück zum Zitat Pala M, Ozbay O, Oztas A, Yuce MI (2005) Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks. Constr Build Mater 21(2):384–394CrossRef Pala M, Ozbay O, Oztas A, Yuce MI (2005) Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks. Constr Build Mater 21(2):384–394CrossRef
8.
Zurück zum Zitat Pak J, Jang J, Bhadeshia HKDH, Karlsson L (2009) Optimization of neural network for Charpy toughness of steel welds. Mater Manuf Process 24:16–21CrossRef Pak J, Jang J, Bhadeshia HKDH, Karlsson L (2009) Optimization of neural network for Charpy toughness of steel welds. Mater Manuf Process 24:16–21CrossRef
9.
Zurück zum Zitat Cottrell GA, Kemp R, Bhadeshia HKDH, Odette GR, Yamamoto T (2007) Neural network analysis of Charpy transition temperature of irradiated low-activation martensitic steels. J Nuclear Mater 367–370:603–609CrossRef Cottrell GA, Kemp R, Bhadeshia HKDH, Odette GR, Yamamoto T (2007) Neural network analysis of Charpy transition temperature of irradiated low-activation martensitic steels. J Nuclear Mater 367–370:603–609CrossRef
10.
Zurück zum Zitat Pacheco-Togal F, Castro-Gomes J, Jalali S (2007) Investigation about the effect of aggregates on strength and microstructure of geopolymeric mine waste mud binders. Cem Concr Res 37(6):933–941CrossRef Pacheco-Togal F, Castro-Gomes J, Jalali S (2007) Investigation about the effect of aggregates on strength and microstructure of geopolymeric mine waste mud binders. Cem Concr Res 37(6):933–941CrossRef
11.
Zurück zum Zitat Pacheco-Torgal F, Castro-Gomes JP, Jalali S (2005) Studies about mix composition of alkali-activated mortars using waste mud from Panasqueira. In: Proceedings of the engineering conference, University of Beira Interior, Covilha, Portugal Pacheco-Torgal F, Castro-Gomes JP, Jalali S (2005) Studies about mix composition of alkali-activated mortars using waste mud from Panasqueira. In: Proceedings of the engineering conference, University of Beira Interior, Covilha, Portugal
12.
Zurück zum Zitat Bakharev T (2005) Geopolymeric materials prepared using Class F fly ash and elevated temperature curing. Cement Concr Res 35:1224–1232CrossRef Bakharev T (2005) Geopolymeric materials prepared using Class F fly ash and elevated temperature curing. Cement Concr Res 35:1224–1232CrossRef
13.
Zurück zum Zitat Chindaprasirt P, Chareerat T, Sirivivatnanon V (2007) Workability and strength of coarse high calcium fly ash geopolymer. Cement Concr Comp 29:224–229CrossRef Chindaprasirt P, Chareerat T, Sirivivatnanon V (2007) Workability and strength of coarse high calcium fly ash geopolymer. Cement Concr Comp 29:224–229CrossRef
14.
Zurück zum Zitat Zuhua Z, Xiao Y, Huajun Z, Yue C (2009) Role of water in the synthesis of calcined kaolin-based geopolymer. Appl Clay Sci 43(2):218–223CrossRef Zuhua Z, Xiao Y, Huajun Z, Yue C (2009) Role of water in the synthesis of calcined kaolin-based geopolymer. Appl Clay Sci 43(2):218–223CrossRef
15.
Zurück zum Zitat Fernandez-Jimenez A, Garcia-Lodeiro I, Palomo A (2007) Durability of alkali-activated fly ash cementitious materials. J Mater Sci 42(9):3055–3065CrossRef Fernandez-Jimenez A, Garcia-Lodeiro I, Palomo A (2007) Durability of alkali-activated fly ash cementitious materials. J Mater Sci 42(9):3055–3065CrossRef
16.
Zurück zum Zitat Van Jaarsveld JGS, Van Deventer JSJ, Lukey GC (2002) The effect of composition and temperature on the properties of fly ash—and kaolinite-based geopolymers. Chem Eng J 89(1–3):63–73CrossRef Van Jaarsveld JGS, Van Deventer JSJ, Lukey GC (2002) The effect of composition and temperature on the properties of fly ash—and kaolinite-based geopolymers. Chem Eng J 89(1–3):63–73CrossRef
17.
Zurück zum Zitat Givi AN, Rashid SA, Aziz FNA, Mohd Salleh MA (2010) Assessment of the effects of rice husk ash particle size on strength, water permeability and workability of binary blended concrete. Constr Build Mater 24(11):2145–2150CrossRef Givi AN, Rashid SA, Aziz FNA, Mohd Salleh MA (2010) Assessment of the effects of rice husk ash particle size on strength, water permeability and workability of binary blended concrete. Constr Build Mater 24(11):2145–2150CrossRef
18.
Zurück zum Zitat Duxson P, Mallicoat SW, Lukey GC, Kriven WM, van Deventer JSJ (2007) The effect of alkali and Si/Al ratio on the development of mechanical properties of metakaolin-based geopolymers. Colloid Surf A 292(1):8–20CrossRef Duxson P, Mallicoat SW, Lukey GC, Kriven WM, van Deventer JSJ (2007) The effect of alkali and Si/Al ratio on the development of mechanical properties of metakaolin-based geopolymers. Colloid Surf A 292(1):8–20CrossRef
19.
Zurück zum Zitat Topcu IB, Karakurt C, Sarıdemir M (2008) Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic. Mater Design 29:1986–1991CrossRef Topcu IB, Karakurt C, Sarıdemir M (2008) Predicting the strength development of cements produced with different pozzolans by neural network and fuzzy logic. Mater Design 29:1986–1991CrossRef
20.
Zurück zum Zitat Ince R (2004) Prediction of fracture parameters of concrete by artificial neural networks. Eng Fract Mech 71(15):2143–2159CrossRef Ince R (2004) Prediction of fracture parameters of concrete by artificial neural networks. Eng Fract Mech 71(15):2143–2159CrossRef
21.
Zurück zum Zitat Sarıdemir M, Topcu IB, Ozcan F, Severcan MH (2009) Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic. Constr Build Mater 23:1279–1286CrossRef Sarıdemir M, Topcu IB, Ozcan F, Severcan MH (2009) Prediction of long-term effects of GGBFS on compressive strength of concrete by artificial neural networks and fuzzy logic. Constr Build Mater 23:1279–1286CrossRef
22.
Zurück zum Zitat Liu SW, Huang JH, Sung JC, Lee CC (2002) Detection of cracks using neural networks and computational mechanics. Comput Meth Appl Mech Eng 191(25–26):2831–2845CrossRef Liu SW, Huang JH, Sung JC, Lee CC (2002) Detection of cracks using neural networks and computational mechanics. Comput Meth Appl Mech Eng 191(25–26):2831–2845CrossRef
23.
Zurück zum Zitat Gunaydın HM, Dogan SZ (2004) A neural network approach for early cost estimation of structural systems of building. Int J Project Manage 22(7):595–602CrossRef Gunaydın HM, Dogan SZ (2004) A neural network approach for early cost estimation of structural systems of building. Int J Project Manage 22(7):595–602CrossRef
24.
Zurück zum Zitat Suratgar AA, Tavakoli MB, Hoseinabadi A (2005) Modified Levenberg–Marquardt method for neural networks training. World Acad Sci Eng Technol 6:46–48 Suratgar AA, Tavakoli MB, Hoseinabadi A (2005) Modified Levenberg–Marquardt method for neural networks training. World Acad Sci Eng Technol 6:46–48
25.
Zurück zum Zitat Guzelbey IH, Cevik A, Erklig A (2006) Prediction of web crippling strength of cold-formed steel sheetings using neural networks. J Constr Steel Res 62:962–973CrossRef Guzelbey IH, Cevik A, Erklig A (2006) Prediction of web crippling strength of cold-formed steel sheetings using neural networks. J Constr Steel Res 62:962–973CrossRef
26.
Zurück zum Zitat Topcu IB, Saridemir M (2008) Prediction of compressive strength of concrete containing fly ash using artificial neural network and fuzzy logic. Comp Mater Sci 41(3):305–311CrossRef Topcu IB, Saridemir M (2008) Prediction of compressive strength of concrete containing fly ash using artificial neural network and fuzzy logic. Comp Mater Sci 41(3):305–311CrossRef
Metadaten
Titel
RETRACTED ARTICLE: Artificial neural networks for prediction compressive strength of geopolymers with seeded waste ashes
verfasst von
Ali Nazari
Publikationsdatum
01.08.2013
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 2/2013
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-012-0931-4

Weitere Artikel der Ausgabe 2/2013

Neural Computing and Applications 2/2013 Zur Ausgabe