Hybrid fuzzy model to predict strength and optimum compositions of natural Alumina-Silica-based geopolymers |
Nadiri, Ata Allah
(Department of Earth Sciences, Faculty of Natural Science, University of Tabriz)
Asadi, Somayeh (Department of Architectural Engineering, Pennsylvania State University) Babaizadeh, Hamed (LADOTD) Naderi, Keivan (Department of Earth Sciences, Faculty of Natural Science, University of Tabriz) |
1 | Ahmadi-Nedushan, B. (2012), "An optimized instance based learning algorithm for estimation of compressive strength of concrete", J. Eng. Appl. Artif. Intel., 25(5), 1073-1081. DOI |
2 | Asadi, S., Hassan, M., Nadiri, A.A. and Dylla, H. (2014), "Artificial intelligence modeling to evaluate field performance of photocatalytic asphalt pavement for ambient air purification", Environ. Sci. Poll. Res., 21, 8847-8857. DOI |
3 | ASCE (2000a), "Task committee on application of artificial neural networks in hydrology, artificial neural network in hydrology. I: Preliminary concepts", J. Hydrolog. Eng., 5(2), 115-123. DOI |
4 | Bohlooli, H., Nazari, A., Khalaj, G., Kaykha, M.M. and Riahi, S. (2012), "Experimental investigations and fuzzy logic modeling of compressive strength of geopolymers with seeded fly ash and rice husk bark ash", Compos. Part B: Eng., 43(3), 1293-1301. DOI |
5 | Panagiotopoulou, C., Kontori, E., Perraki, T. and Kakali, G. (2007), "Dissolution of aluminosilicate minerals and byproducts in alkaline media", J. Mater. Sci., 42(9), 2967-2973. DOI |
6 | Pulido Calvo, I. and Gutierrez Estrada, J.C. (2009), "Improved irrigation water demand forecasting using a soft-computing hybrid model", Biosyst. Eng., 102, 202-218. DOI |
7 | Roviello, G., Ricciotti, L., Ferone, C., Colangelo, F. and Tarallo, O., (2015), "Fire resistant melamine based organic-geopolymer hybrid composites", Cement Concrete Compos., 59, 89-99. DOI |
8 | Subear, S. and Van Riessen, A. (2007), "Thermechanical and micro-structure of unconfined compressive of sodium-poly (sialate-siloxo) (Na-PSS) geopolymers", J. Mater. Sci., 42(9), 3117-3123. DOI |
9 | Sugeno, M. (1985), Industrial Application of Fuzzy Control, North-Holland, New York. |
10 | Tayfur, G. and Nadiri, A.A. (2014), "Supervised intelligent committee machine for hydraulic conductivity estimation", Water Resour. Manage., 28, 1173-1184. DOI |
11 | Van Jaarsveld, J.G.S., Van Deventer, J.S.J. and Lorenzen, L. (1997), "The potential use of geopolymeric materials to immobilise toxic metals: Part I. Theory and applications", Miner. Eng., 10(7), 659-669. DOI |
12 | Wang, H., Li, H. and Yan, F. (2005), "Synthesis and mechanical properties of metakaolinite-based geopolymer", Coll. Surf. A: Physicochem. Eng. Aspect., 268(1-3), 1-6. DOI |
13 | Xu, H., van Deventer, J.S.J. and Lukey, G.C. (2001), "Effect of alkali metals on the preferential geopolymerization of Stilbite/Kaolinite mixtures", Indust. Eng. Chem. Res., 40(17), 3749-3756. DOI |
14 | Chen, M.S. and Wang, S.W. (1999), "Fuzzy clustering analysis for optimizing fuzzy membership functions", Fuzzy Set. Syst., 103(2), 239-254. DOI |
15 | Bondar, D. (2014), "Use of a neural network to predict strength and optimum composition of natural alumina-silica-based geopolymers", J. Mater. Civil Eng., 26, 499-504. DOI |
16 | Bondar, D., Lynsdale, C. and Milestone, N. (2012), "Simplified Model for Prediction of Compressive Strength of Alkali-Activated Natural Pozzolans", J. Mater. Civil Eng., 24(4), 391-400. DOI |
17 | Chen, C.H. and Lin, Z.S. (2006), "A committee machine with empirical formulas for permeability prediction", Comput. Geosci., 32(4), 485-496. DOI |
18 | Cheng, M.Y. and Cao, M.T. (2014), "Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams", J. Eng. Appl. Artif. Intel., 28, 86-96. DOI |
19 | Chitsazan, N., Nadiri, A.A. and Tsai, F.F.C. (2015), "Prediction and structural uncertainty analyses of artificial neural networks using hierarchical Bayesian model averaging", J. Hydrol., 528, 52-62. DOI |
20 | Chiu, S.L. (1994), "Fuzzy model identification based on cluster estimation", J. Intel. Fuzzy Syst., 2, 267-278. DOI |
21 | de Castilho, V.C., El Debs, M.K. and Nicoletti, M. (2007), "Using a modified genetic algorithm to minimize the production costs for slabs of precast prestressed concrete joists", J. Appl. Artif. Itel., 20(4), 519-530. DOI |
22 | Gutierrez-Estrada, J.C., De Pedro-Sanz, E., Lopez-Luque, R. and Pulido-Calvo, I. (2004), "Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla.) Intensive rearing system", Aquacult. Eng., 31, 183-203. DOI |
23 | Duxson, P. Provis, J.L., Lukey, G.C., Mallicoat, S.W., Kriven, W.M. and van Deventer, J.S.J. (2005), "Understanding the relationship between geopolymer composition, microstructure and mechanical properties", Coll. Surf. A: Physicochem. Eng. Aspect., 269(1-3), 47-58. DOI |
24 | Duxson, P., Fernandez-Jimenez, A., Provis, J.L., Lukey, G.C., Palomo, A. and van Deventer, J.S.J. (2007), "Geopolymer technology: the current state of the art", J. Mater. Sci., 42(9), 2917-2933. DOI |
25 | Duxson, P., Provis, J.L., Lukey, G.C. and van Deventer, J.S.J. (2007), "The role of inorganic polymer technology in the development of "green concrete"", Cement Concrete Res., 37(12), 1590-1597. DOI |
26 | Ferone, C., Roviello, G., Colangelo, F., Cioffi, R. and Tarallo, O. (2013), "Novel hybrid organic-geopolymer materials", Appl. Clay Sci., 73, 42-50. DOI |
27 | Grande, J.A., Andujar, J.M., Aroba, J., Beltran, R., De La Torre, M.L., Ceron, J.C. and Gomez, T. (2010), "Fuzzy modeling of the spatial evolution of the chemistry in the Tinto River (SW Spain)", Water Resour. Manage., 24(12), 3219-3235. DOI |
28 | Kadkhodaie-Ilkhchi, A. and Amini, A. (2009), "A fuzzy logic approach to estimating hydraulic flow units from well log data: A case study from the Ahwaz oilfield, South Iran", J. Petrol. Geol., 32(1), 67-78. DOI |
29 | Gutierrez Estrada, J.C., Pulido Calvo, I. and Bilton, D.T. (2013), "Consistency of fuzzy rules in an ecological context", Ecolog. Model., 251, 187-198. DOI |
30 | Haykin, S.S. (1998), Neural Networks: A Comprehensive Foundation, Prentice Hall. |
31 | Khater, H.M. (2016), "Nano-Silica effect on the physicomechanical properties of geopolymer composites", Adv. Nano Res., 4(3), 181-195. DOI |
32 | Mamdani, E.H. (1976), "Advances in the linguistic synthesis of fuzzy controllers", Int. J. Man-Mach. Stud., 8(6), 669-678. DOI |
33 | Labani, M.M., Kadkhodaie-Ilkhchi, A. and Salahshoor, K. (2010), "Estimation of NMR log parameters from conventional well log data using a committee machine with intelligent systems: A case study from the Iranian part of the South Pars gas field, Persian Gulf Basin", J. Petrol. Sci. Eng., 72(1-2), 175-185. DOI |
34 | Larsen, P.M. (1980), "Industrial application of fuzzy logic control", Int. J. Man-Mach. Stud., 12, 3-10. DOI |
35 | Li, H., Chen, C.L.P. and Huang, H.P. (2000), Fuzzy Neural Intelligent Systems: Mathematical Foundation and the Application in Engineering, CRC Press LLC. |
36 | Mamdani, E.H. (1977), "Application of fuzzy logic to approximate reasoning using linguistic synthesis", IEEE Tran. Comput., 26(12), 1182-1191. |
37 | Mamdani, E.H. and Assilian, S. (1975), "An experiment in linguistic synthesis with a fuzzy logic controller", Int. J. Man-Mach. Stud., 7(1), 1-13. DOI |
38 | Nadiri, A.A., Chitsazan, N., Tsai, F.T.C. and Asghari Moghaddam, A.A. (2014), "Bayesian artificial intelligence model averaging for hydraulic conductivity estimation", J. Hydrolog. Eng., 19(3), 520-532. DOI |
39 | Motamedi, S., Shamshirband, S., Petkovic, D. and Hashim, R. (2015), "Application of adaptive neuro-fuzzy technique to predict the unconfined compressive strength of PFA-sandcement mixture", Powder Technol., 278, 278-285. DOI |
40 | Nadiri, A.A. (2015), Application of Artificial Intelligence Methods in Geosciences and Hydrology, OMICS Publisher. |
41 | Nadiri, A.A., Fijani, E., Tsai, F.T.C. and Asghari Moghaddam, A.A. (2013), "Supervised committee machine with artificial intelligence for prediction of fluoride concentration", Hydroinform. J., 15(4), 1474-1490. DOI |
42 | Nadiri, A.A., Sedghi, Z., Khatibi, R. and Gharekhani, M. (2017c), "Mapping vulnerability of multiple aquifers using multiple models and fuzzy logic to objectively derive model structures", Sci. Total Environ., 593-594, 75-90. DOI |
43 | Nadiri, A.A., Gharekhani, M., Khatibi, R. and Asghari Moghaddam, A. (2017b), "Assessment of groundwater vulnerability using supervised committee to combine fuzzy logic models", Environ. Sci. Poll. Res., 24(9), 8562-8577. DOI |
44 | Nadiri, A.A., Gharekhani, M., Khatibi, R., Sadeghfam, S. and Asghari Moghaddam, A. (2017a), "Groundwater vulnerability indices conditioned by Supervised Intelligence Committee Machine (SICM)", Sci. Total Environ., 574, 691-706. DOI |
45 | Nadiri, A.A., Hassan, M.M. and Asadi, S. (2015), "Supervised intelligence committee machine to evaluate field performance of photocatalytic asphalt pavement for ambient air purification", Tran. Res. Record: J. Tran. Res. Board, 2528, 96-105. DOI |
46 | Nazari, A., Pacheco-Torgal, F., Cevik, A. and. Sanjayan, J.G. (2015), "Prediction of the compressive strength of alkaliactivated geopolymeric concrete binders by neuro-fuzzy modeling: a case studys", Handbook of Alkali-Activated Cements, Mortars and Concretes. |
47 | Nourani, V., Asghari Mogaddam, A., Nadiri, A.A. and Sing, V.P. (2008), "Forecasting spatiotemporal water levels of Tabriz aquifer", Trend. Appl. Sci. Res., 3(4), 319-329. DOI |
48 | Palomo, A., Grutzeck, M.W. and Blanco, M.T. (1999), "Alkaliactivated fly ashes: A cement for the future", Cement Concrete Res., 29(8), 1323-1329. DOI |
49 | Ozcan, F., Atis, C.D., Karahan, O., Uncuoglu, E. and Tanyildizi, H. (2009), "Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete", Adv. Eng. Softw., 40(9), 856-863. DOI |