An Experimental and Numerical Study on Metakaolin-based Geopolymers

Ershad, Mohamadmahdi (Armin)

An Experimental and Numerical Study on Metakaolin-based Geopolymers

dc.contributor.advisor	Khoshnazar, Rahil
dc.contributor.author	Ershad, Mohamadmahdi (Armin)
dc.contributor.committeemember	Moshirpour, Mohammad
dc.contributor.committeemember	Shrive, Nigel Graham
dc.date	2021-06
dc.date.accessioned	2021-01-28T15:03:25Z
dc.date.available	2021-01-28T15:03:25Z
dc.date.issued	2021-01-26
dc.description.abstract	Portland cement concrete, in its most basic form, is produced by mixing aggregate, Portland cement (PC), and water. High energy consumption and CO2 emissions associated with the production of PC have caused serious environmental issues, and PC production is now responsible for about 5-8% of the global CO2-equivalent greenhouse gas emissions. Extensive research has been conducted to develop new and more sustainable binders that can replace PC paste in concrete without compromising its performance. Geopolymers (GPs) are a class of these alternative binders attracting significant attention in the past few decades. They are produced by mixing an aluminosiliceous powder such as metakaolin (MK) with an alkaline solution. Several parameters such as composition and curing conditions influence the characteristics of GPs, and appropriate selection of material proportions is necessary to achieve the desired performance. This research aims to (i) model the compressive strength of MK-based GPs based on their composition and (ii) suggest new methods for enhancing the compressive strength of MK-based GPs. In the first part of this research, different GPs were prepared with two different grades of MK and various compositions. Machine learning models were then used to classify and predict the compressive strength of GPs using the dataset driven from the experimental plan of this research and the literature. Different models were tested, among which the extreme gradient boosting algorithm was able to classify the GPs with 80% accuracy in three levels of ‘low’, ‘medium’, and ‘high’ strength and predict the strength with R2 = 0.80 given the composition and test age. In the second part, a seeding method was used to improve the compressive strength of GPs. Three different types of zeolite seeds (hydrogen faujasite, sodium faujasite, mordenite) were used. The results showed that all the zeolites could improve the strength of GPs although hydrogen faujasite and mordenite seemed to be more effective than sodium faujasite.	en_US
dc.identifier.citation	Ershad, M. (2021). An Experimental and Numerical Study on Metakaolin-based Geopolymers (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.	en_US
dc.identifier.doi	http://dx.doi.org/10.11575/PRISM/38599
dc.identifier.uri	http://hdl.handle.net/1880/113032
dc.language.iso	eng	en_US
dc.publisher.faculty	Schulich School of Engineering	en_US
dc.publisher.institution	University of Calgary	en
dc.rights	University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.	en_US
dc.subject	Metakaolin-based Geopolymer	en_US
dc.subject	Machine Learning	en_US
dc.subject	Compressive Strength	en_US
dc.subject.classification	Engineering--Civil	en_US
dc.title	An Experimental and Numerical Study on Metakaolin-based Geopolymers	en_US
dc.type	master thesis	en_US
thesis.degree.discipline	Engineering – Civil	en_US
thesis.degree.grantor	University of Calgary	en_US
thesis.degree.name	Master of Science (MSc)	en_US
ucalgary.item.requestcopy	true	en_US