Estimation of Compressive Strength and Optimization of Mix Design of Fly Ash Based Geopolymer Concrete

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Khoshkbari, Sima | 2022

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 57129 (09)
University: Sharif University of Technology
Department: Civil Engineering
Advisor(s): Toufigh, Vahab
Abstract:
releasing substantial quantity of carbon dioxide to the atmosphere due to the production of OPC concrete is believed to be one of the most important environmental concerns. It is reported that the global cement industry contributes around 2.8 billion tons of the greenhouse gas emissions annually. geopolymer concrete is an efficient and effective alternative to OPC for reducing air pollution and preventing environmental damage which is utilized in construction industry. Despite the phenomenal research carried out in the field of GPC , There is no standard mix design procedure for this novel concrete. In this study a neural network is to predict the compressive strength of fly ash based geopolymer concrete (FAGC). To build and validate this model, one hundred sixty-one mix designs were used from the published papers between the years 2000 and 2000. In the next step by using Grey wolf Optimizer (GWO) and developed neural network a standard mix design for FAGC is presented witch result in highest compressive strength and lowest cost
Keywords:
Geopolymer Concrete ; Price Reduction ; Neural Network ; Gray Wolf Algorithm ; Concrete Compressive Strenght ; Fly Ash

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