Compressive strength of geopolymers produced by ordinary Portland cement: Application of genetic programming for design |
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| Affiliation: | 1. Civil Engineering, Ahsanullah University of Science and Technology, 141 & 142, Love Road, Tejgaon Industrial Area, Dhaka 1208, Bangladesh;2. Dept of Civil and Environmental Engineering, Tokyo Institute of Technology, Japan;3. Civil Engineering, Military Institute of Science and Technology, Mirpur Cantonment, Dhaka 1216, Bangladesh;1. Department of Architectural Engineering, Sejong University, Seoul, South Korea;2. Faculty of Engineering and IT, The University of Sydney, Sydney, NSW 2006, Australia;3. Vietnam National University of Ho Chi Minh City, Faculty of Civil Engineering, Viet Nam;4. Department of Building and Urban Research, Building Safety Research Center & Earthquake Engineering Research Center, Korea Institute of Civil Engineering and Building Technology (KICT), Gyeonggi-do, South Korea;1. Department of the Built Environment, School of Design and Environment, National University of Singapore, 117566, Singapore;2. Institute of Architecture and Construction, South Ural State University, Lenin Prospect 76, 454080 Chelyabinsk, Russia;3. Department of Civil Engineering, McMaster University, Hamilton, ON L8S 4M6, Canada;4. Department of Civil Engineering, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia;5. School of Natural and Built Environment, Queen’s University Belfast, Stranmillis Road, Belfast, BT9 5AG, United Kingdom;6. Department of Physics and Laser Centre, AOMRG, Faculty of Science, Universiti Teknologi Malaysia, Skudai 81310, Johor Bahru, Malaysia |
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| Abstract: | In the present study, compressive strength results of geopolymers produced by ordinary Portland cement (OPC) as aluminosilicate source has been modeled by gene expression programming. Six main factors including NaOH concentration, water glass to NaOH weight ratio, alkali activator to cement weight ratio, oven curing temperature, oven curing time and water curing regime each at four levels were considered for designing. A total of 32 experiments were conducted according to the L32 array proposed by the method. The gene expression programming models were constructed by 10 input parameters including NaOH concentration, water glass to NaOH weight ratio, alkali activator to cement weight ratio, oven curing Temperature, oven curing time, water curing regime, water glass content, NaOH content, Portland cement content and test trial number. The value for the output layer was the compressive strength. According to the input parameters in the models, the constructed networks were trained and tested. The results indicate that gene expression programming model is a powerful tool for predicting the compressive strength of the geopolymers in the considered range. |
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