Journal ArticleDOI
Sugarcane bagasse ash-based engineered geopolymer mortar incorporating propylene fibers
Arslan Akbar,Furqan Farooq,Muhammad Shafique,Fahid Aslam,Rayed Alyousef,Hisham Alabduljabbar +5 more
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TLDR
In this article, the physical and mechanical properties of a SBA-based geopolymer with various percentages of (PP)(PP) fibers were evaluated through the experiments and discussed in detail.Abstract:
Recently, the lightweight geopolymer production from wastes got adamant attention for sustainable and green building construction. But lower flexure and the tensile strength limit its wider application in the construction industry. This study was intended to prepare sugarcane bagasse ash (SBA) based geopolymer reinforced with (PP) (PP) fibers. The physical and mechanical properties of geopolymers with various percentages of (PP) (PP) fibers were evaluated through the experiments and discussed in detail. The addition of (PP) fibers resulted in enhanced flexural and tensile strength. Results assert that by limiting the content of (PP) fibers to 1%, not only improve in the flexural properties but also enhance the compressive strength by providing denser microstructure. This study concludes that the use of (SBA) composite reinforced with (PP) fibers can provide alternative ways to achieve sustainability by utilizing the wastes which mainly cause environmental degradation during landfilling.read more
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Applications of Gene Expression Programming for Estimating Compressive Strength of High-Strength Concrete
Fahid Aslam,Furqan Farooq,Muhammad Nasir Amin,Kaffayatullah Khan,Abdul Waheed,Arslan Akbar,Muhammad Faisal Javed,Rayed Alyousef,Hisham Alabdulijabbar +8 more
TL;DR: The results reveal that machine learning proposed adamant accuracy and has elucidated performance in the prediction aspect and variable intensity and correlation have shown that deep learning can be used to know the exact amount of materials in civil engineering rather than doing experimental work.
Journal ArticleDOI
Compressive Strength of Fly-Ash-Based Geopolymer Concrete by Gene Expression Programming and Random Forest
Mohsin Ali Khan,Shazim Ali Memon,Furqan Farooq,Muhammad Faisal Javed,Fahid Aslam,Rayed Alyousef +5 more
TL;DR: In this article, the compressive strength of fly ash residual from thermal industries has been used in the production of FA-based geopolymer concrete (FGPC) to avoid time-consuming and costly experimental procedures, soft computing techniques, namely, random forest regression (RFR) and gene expression programming (GEP), are used in order to develop an empirical model for the prediction of compressive strengths.
Journal ArticleDOI
Prediction of Compressive Strength of Fly Ash Based Concrete Using Individual and Ensemble Algorithm.
Ayaz Ahmad,Furqan Farooq,Paweł Niewiadomski,Krzysztof Ostrowski,Arslan Akbar,Fahid Aslam,Rayed Alyousef +6 more
TL;DR: In this article, a comparison of algorithms between individuals and ensemble approaches, such as bagging Optimization for bagging is done by making 20 sub-models to depict the accurate one Variables like cement content, fine and coarse aggregate, water, binder-to-water ratio, fly-ash, and superplasticizer are used for modeling Model performance is evaluated by various statistical indicators like mean absolute error (MAE), mean square error (MSE), and root Mean Square Error (RMSE) individual algorithms show a moderate bias result However, the ensemble model gives
Journal ArticleDOI
Geopolymer concrete as sustainable material: A state of the art review
Furqan Farooq,Xin Jin,Muhammad Faisal Javed,Arslan Akbar,Muhammad Izhar Shah,Fahid Aslam,Rayed Alyousef +6 more
TL;DR: In this paper, a sustainable domain and state of the art review of geopolymer composites made from various geopolymeric waste binders is presented, and the properties of composites are also discussed.
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New Prediction Model for the Ultimate Axial Capacity of Concrete-Filled Steel Tubes: An Evolutionary Approach
Muhammad Faisal Javed,Furqan Farooq,Shazim Ali Memon,Arslan Akbar,Mohsin Ali Khan,Fahid Aslam,Rayed Alyousef,Hisham Alabduljabbar,Sardar Kashif Ur Rehman +8 more
TL;DR: The distinguishing feature of gene expression programming (GEP) has been utilized for establishing a prediction model for the axial behavior of long CFST, which correlates the ultimate axial capacity of long circular CFST with depth, thickness, yield strength of steel, the compressive strength of concrete and the length of the CFST.
References
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Journal ArticleDOI
Global CO 2 emissions from cement production
TL;DR: In this article, the authors present a new analysis of global process emissions from cement production and show that global process CO2 emissions in 2016 were 1.45±0.20 metric tonne CO2, equivalent to about 4% of emissions from fossil fuels.
Journal ArticleDOI
On the development of fly ash-based geopolymer concrete
TL;DR: In this article, fly ash-based geopolymer concrete was developed to reduce greenhouse gas emissions, and the test results showed the effects of various parameters on the properties of the concrete.
Journal ArticleDOI
Workability and strength of lignite bottom ash geopolymer mortar
TL;DR: The incorporation of water improved the workability of geopolymer mortar more effectively than the use of napthalene-based superplasticizer with similar slight reduction in strengths and the addition of NaOH solution slightly improves the workable of the mix while maintaining the strength of the geopolym mortars.
Journal ArticleDOI
Ultrafine grinding of sugar cane bagasse ash for application as pozzolanic admixture in concrete
Guilherme Chagas Cordeiro,Romildo Dias Toledo Filho,LuÃs Marcelo Tavares,Eduardo de Moraes Rego Fairbairn +3 more
TL;DR: In this article, the role of mill type and grinding circuit configuration in grinding in laboratory- and pilot plant-scale on the particle size, specific surface area and pozzolanic activity of the produced ashes was investigated.
Journal ArticleDOI
Effect of different superplasticizers and activator combinations on workability and strength of fly ash based geopolymer
Behzad Nematollahi,Jay Sanjayan +1 more
TL;DR: In this article, the effect of different commercial superplasticizers (SPs) such as naphthalene, melamine and modified polycarboxylate based on the workability and strength of a class F fly ash geopolymer paste activated by two different activator combinations, i.e. 8 M sodium hydroxide solution and a multi-compound activator composed of 8 M NaOH solution (28.6%) + Na 2 SiO 3 (71.4%).
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