Öz
Cement mortar mixture consists of different materials as the content. The materials which make up this mixture and the selection of this mixture have a vital proposition for the constructions in which this mixture is used. In this selection process, it is very complicated to decide which one material and how to use in the selection. Fuzzy decisionmaking theory is a very useful method that can be used in such decision-making problems. In this study, it was preferred to use the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method to find the best cement mortar mixture. For this purpose, the optimum sorting was done for 40 alternatives using five criteria. These five criteria used are; The age of the samples (days), fly ash (FA), silica fume (SF), compressive strength (MPa) and ration of FA+SF mixtures. As a result, this study shows that the presented fuzzy TOPSIS model is able to effectively evaluate fuzziness in the multi-criteria decision process.
Anahtar Kelimeler
Fuzzy TOPSIS Multi-Criteria Decision Making Cement mortar Compressive strength
Kaynakça
- Aruntas, H.Y. (2006). The potential of fly ash usage in construction sector, Journal of The Faculty of Engineering and Architecture of Gazi University, 21(1), 193–203.Behnood, A. and Ziari, H. (2008). Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures, Cement and Concrete Composites, 30, 106–112.Chen, C.T. (2000). Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment, Fuzzy Sets and Systems, 114, 1-9.Chen, S.M. (1997). A new method for tool steel materials selection under fuzzy environment, Fuzzy Sets and Systems, 92, 265-274.Fu, X., Wang, Z., Tao, W., Yang, C., Hou, W., Dong, Y. and Wu, X. (2002). Studies on blended cement with a large amount of fly ash, Cement and Concrete Research, 32(7), 1153–1159.Garces, P., Andion, L. G., Zornoza, E., Bonilla, M. and Paya, J. (2010). The effect of processed fly ashes on the durability and the corrosion of steel rebars embedded in cement–modified fly ash mortars, Cement and Concrete Composites, 32, 204–210.Jo, B.W., Kim, C.H., Tae, G. and Park, J. B. (2007). Characteristics of cement mortar with nano-SiO2 particles, Construction and Building Materials, 21, 1351–1355.Kelemenis, A. and Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection, Expert Systems with Applications, 37 (7), 4999–5008.Kocak, Y. (2010). A study on the effect of fly ash and silica fume substituted cement paste and mortars, Scientific Research and Essays, 5(9), 990–998.Lin, J., Zhangb Q. and Meng F. (2015). An approach for facility location selection based on optimal aggregation operator, Knowledge-Based Systems, 85, 143–158.Ma, J., Lu, J. and Zhang, Z. (2010). Decider: A fuzzy multi-criteria group decision support system, Knowledge-Based Systems, 23, 23–31.Maas, A.J., Ideker, J.H. and Juenger, M.C.G. (2007). Alkali silica reactivity of agglomerated silica fume, Cement and Concrete Research, 37, 166–174.Maity S.R. and Chakraborty S. (2015). Tool steel material selection using PROMETHEE II method, International Journal of Advanced Manufacturing Technology, 78, 1537–1547.Neville, A. M. (2006). Properties of concrete, England: Pearson Education Limited.Nochaiya, T., Wongkeo, W. and Chaipanich, A. (2010). Utilization of fly ash with silica fume and properties of Portland cement–fly ash–silica fume concrete, Fuel, 89, 768–774.Ozdagoglu, A. (2012). Evaluation of Hydraulic Guillotine Alternatives with TOPSIS Method for Production Companies, Ege Academic Review, 4, 549-562.Ozmen, S. (2012). Material selection for marine environments by fuzzy desision method, M.Sc. Thesis, Marmara University, İstanbul, Turkey.Qing, Y., Zenan, Z., Deyu, K. and Rongshen, C. (2007). Influence of nano-SiO2 addition on properties of hardened cement paste as compared with silica fume, Construction and Building Materials, 21, 539–545.Saraswathy, V., Muralidharan, S., Thangavel, K. and Srinivasan, S. (2003). Influence of activated fly ash on corrosion-resistance and strength of concrete, Cement and Concrete Composites, 25(7), 673–680.Saridemir, M. (2009). Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural network, Advances in Engineering Software, 40, 350-355.Simsek, B., Ic, Y.T and Simsek, E.H. (2013). A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete, Chemometrics and Intelligent Laboratory Systems, 125, 18–32.Song, H-W., Pack S-W., Nam S-H., Jong J-C. and Saraswathy V. (2010). Estimation of the permeability of silica fume cement concrete, Construction and Building Materials, 24, 315–321.Subasi, S. (2009). Prediction of mechanical properties of cement containing class C fly ash by using artificial neural network and regression technique, Scientific Research and Essay, 4(4), 289-297.Worrell, E., Martin, N. and Price, L. (2000). Potentials for energy efficiency improvement in the US cement industry, Energy, 25(12), 1189–1214.
Öz
Çimento harcı karışımı, içerik olarak farklı malzemelerden oluşmaktadır. Bu karışımı oluşturan malzemeler ve bu karışımın seçimi, bu karışımın kullanıldığı yapılar için hayati öneme sahiptir. Bu seçim sürecinde hangi malzemenin seçileceğine ve nasıl kullanılacağına karar vermek çok karmaşıktır. Bulanık karar verme teorisi, bu tür karar verme problemlerinde kullanılabilecek çok kullanışlı bir yöntemdir. Bu araştırmada, en iyi çimento harcı karışımını bulmak için bulanık TOPSIS yönteminin kullanılması tercih edilmiştir. Bu amaçla, beş kriter kullanılarak 40 adet alternatif için ideal sıralama yapılmıştır. Kullanılan bu beş kriter; numunelerin yaşı (gün), uçucu kül (FA), silis dumanı (SF), basınç dayanımı (MPa) ve FA + SF karışımları oranıdır. Sonuç olarak, bu çalışma sunulan bulanık TOPSIS modelinin çok kriterli karar sürecinde belirsizliği etkili bir şekilde değerlendirebildiğini göstermektedir.
Anahtar Kelimeler
Bulanık TOPSIS Çok Kriterli Karar Verme Çimento Karışımı Basınç dayanımı
Kaynakça
- Aruntas, H.Y. (2006). The potential of fly ash usage in construction sector, Journal of The Faculty of Engineering and Architecture of Gazi University, 21(1), 193–203.Behnood, A. and Ziari, H. (2008). Effects of silica fume addition and water to cement ratio on the properties of high-strength concrete after exposure to high temperatures, Cement and Concrete Composites, 30, 106–112.Chen, C.T. (2000). Extensions of the TOPSIS for Group Decision-Making under Fuzzy Environment, Fuzzy Sets and Systems, 114, 1-9.Chen, S.M. (1997). A new method for tool steel materials selection under fuzzy environment, Fuzzy Sets and Systems, 92, 265-274.Fu, X., Wang, Z., Tao, W., Yang, C., Hou, W., Dong, Y. and Wu, X. (2002). Studies on blended cement with a large amount of fly ash, Cement and Concrete Research, 32(7), 1153–1159.Garces, P., Andion, L. G., Zornoza, E., Bonilla, M. and Paya, J. (2010). The effect of processed fly ashes on the durability and the corrosion of steel rebars embedded in cement–modified fly ash mortars, Cement and Concrete Composites, 32, 204–210.Jo, B.W., Kim, C.H., Tae, G. and Park, J. B. (2007). Characteristics of cement mortar with nano-SiO2 particles, Construction and Building Materials, 21, 1351–1355.Kelemenis, A. and Askounis, D. (2010). A new TOPSIS-based multi-criteria approach to personnel selection, Expert Systems with Applications, 37 (7), 4999–5008.Kocak, Y. (2010). A study on the effect of fly ash and silica fume substituted cement paste and mortars, Scientific Research and Essays, 5(9), 990–998.Lin, J., Zhangb Q. and Meng F. (2015). An approach for facility location selection based on optimal aggregation operator, Knowledge-Based Systems, 85, 143–158.Ma, J., Lu, J. and Zhang, Z. (2010). Decider: A fuzzy multi-criteria group decision support system, Knowledge-Based Systems, 23, 23–31.Maas, A.J., Ideker, J.H. and Juenger, M.C.G. (2007). Alkali silica reactivity of agglomerated silica fume, Cement and Concrete Research, 37, 166–174.Maity S.R. and Chakraborty S. (2015). Tool steel material selection using PROMETHEE II method, International Journal of Advanced Manufacturing Technology, 78, 1537–1547.Neville, A. M. (2006). Properties of concrete, England: Pearson Education Limited.Nochaiya, T., Wongkeo, W. and Chaipanich, A. (2010). Utilization of fly ash with silica fume and properties of Portland cement–fly ash–silica fume concrete, Fuel, 89, 768–774.Ozdagoglu, A. (2012). Evaluation of Hydraulic Guillotine Alternatives with TOPSIS Method for Production Companies, Ege Academic Review, 4, 549-562.Ozmen, S. (2012). Material selection for marine environments by fuzzy desision method, M.Sc. Thesis, Marmara University, İstanbul, Turkey.Qing, Y., Zenan, Z., Deyu, K. and Rongshen, C. (2007). Influence of nano-SiO2 addition on properties of hardened cement paste as compared with silica fume, Construction and Building Materials, 21, 539–545.Saraswathy, V., Muralidharan, S., Thangavel, K. and Srinivasan, S. (2003). Influence of activated fly ash on corrosion-resistance and strength of concrete, Cement and Concrete Composites, 25(7), 673–680.Saridemir, M. (2009). Prediction of compressive strength of concretes containing metakaolin and silica fume by artificial neural network, Advances in Engineering Software, 40, 350-355.Simsek, B., Ic, Y.T and Simsek, E.H. (2013). A TOPSIS-based Taguchi optimization to determine optimal mixture proportions of the high strength self-compacting concrete, Chemometrics and Intelligent Laboratory Systems, 125, 18–32.Song, H-W., Pack S-W., Nam S-H., Jong J-C. and Saraswathy V. (2010). Estimation of the permeability of silica fume cement concrete, Construction and Building Materials, 24, 315–321.Subasi, S. (2009). Prediction of mechanical properties of cement containing class C fly ash by using artificial neural network and regression technique, Scientific Research and Essay, 4(4), 289-297.Worrell, E., Martin, N. and Price, L. (2000). Potentials for energy efficiency improvement in the US cement industry, Energy, 25(12), 1189–1214.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Bilgisayar Yazılımı |
| Bölüm | Araştırma Makaleleri |
| Yazarlar | |
| Yayımlanma Tarihi | 15 Ağustos 2019 |
| Kabul Tarihi | 13 Haziran 2019 |
| Yayımlandığı Sayı | Yıl 2019 |