Utilization of ceramic waste powder in cement mortar exposed to elevated temperature

Hilal, Nahla; Saleh, Rawaa Dheyaa; Yakoob, Najwa B.; Banyhussan, Qais Sahib

doi:10.1007/s41062-020-00403-x

Cited by 11 publications

(10 citation statements)

References 43 publications

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“…e simulation results were recorded by varying hidden layers from 2 to 10 to identify the best architecture using the correlation coefficient (R) and root mean square error (RMSE) as stopping criteria for the epochs value of 500, the learning rate of 0.3, and momentum of 0.2. e R and RMSE values are calculated using equations ( 1) and ( 2). e 73 experimental datasets are used to train the ANN network to identify the best architecture [32][33][34][35][36][37].…”

Section: Resultsmentioning

confidence: 99%

Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

Raja¹,

Jayanthi

Jule

et al. 2022

Advances in Materials Science and Engineering

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SCC (self-compacting concrete) is a high-flowing concrete that blasts into structures. Many academics have been interested in using an artificial neural network (ANN) to forecast concrete strength in recent years. As a result, the goal of this study is to confirm the various possibilities of using an artificial neural network (ANN) to detect the features of SCC when Portland Pozzolana Cement (PPC) is partially substituted with biowaste such as Bagasse Ash (BA) and Rice Husk Ash (RHA) (RHA). Specialist systems based on the fully connected cascade (FCC) architecture in artificial neural networks (ANN) are used to estimate the compressive toughness of SCC. The research results are confirmed with the forecasting results of ANN utilizing 73 trial datasets of differentiation focus proposals of cement, BA, and RHA containing parameters such as initial setting time (IST), final setting time (FST), and standard consistency. Experiments to determine compressive strength for a wider range of mixed prepositions will result in higher project expenses and delays. So, an expert system ANN is used to find the standard consistency, setting time, and compressive strength for the intermediate mix propositions according to IS 10262:2009. The experimental results of compressive strength for 28 days are considered, in which 70% was used to train the ANN and 30% was utilized for testing the accuracy of the predicted compressive strength for the intermediate mix proposition. Using all of the datasets, the number of hidden layers used for compressive strength prediction for intermediate mix proposal is determined in the first step. The compressive strength for the intermediate mix preposition was identified in the second phase of the research, using the number of hidden layers determined in the first phase. The results were validated using the correlation coefficient (R) and root mean square error (RMSE) obtained from ANN, resulting in an acceptance range of 97 percent to 99 percent.

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Section: Resultsmentioning

confidence: 99%

Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

Raja¹,

Jayanthi

Jule

et al. 2022

Advances in Materials Science and Engineering

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“…Utilizing ceramic waste benefits the environment by decreasing the energy use and carbon dioxide emissions related with binder production, as well as trying to minimize the exploitation of raw materials for the industrial production of binders and aggregates, thereby lowering the carbon footprint associated with the destruction of the landscape and riverbeds caused by mining operations [40]. Moreover, one of the reported ways to reduce the impact of ceramic waste can be achieved by reusing and recycling ceramic waste to manufacture concrete [41], which has been proven to decrease greenhouse gas emissions [6,13]. This reusability concern is addressed by recycling ceramic waste into building materials, which effectively offsets the vast amount of ceramic waste that is generated daily.…”

Section: Impacts Of Ceramic Waste On the Environmentmentioning

confidence: 99%

“…The manufacturing process of ceramics requires the use of temperatures ranging between 900 and 1000 • C for a 24-30 h period [4,5], potentially resulting in pozzolanic reactivity within the products. This reaction is responsible for the exceptional strength and durability of ceramics over long periods [6]. Ceramic waste powder (CWP), created by polishing, crushing, and glazing burned clay, can be utilized as a pozzolan and component of future ecologically friendly cement [7] because silica and alumina are the two main chemical components of CWP, as shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Review of the Properties of Sustainable Cementitious Systems Incorporating Ceramic Waste

Al-Fakih,

Odeh,

Mahamood

et al. 2023

Buildings

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Global carbon dioxide emissions can be attributed to Portland cement production; thus, an alternative cementitious system is essential to reduce cement demand. Ceramic waste powder (CWP), which contains high proportions of silica and alumina, has emerged as a promising alternative because of its chemical composition. This review discusses the potential of CWP as an alternative cementitious system and its effects on the physical, mechanical, and durability properties of cementitious systems. The findings revealed that the utilization of CWP in cementitious systems has positive effects on their physical, mechanical, and durability properties owing to the chemical composition of CWP, which can act as a filler material or contribute to the pozzolanic reaction. A pozzolanic reaction occurs between the silica and alumina in the CWP and calcium hydroxide in the cement, resulting in the production of additional cementitious materials such as calcium silicate hydrates and calcium aluminate hydrates. These additional materials can improve the strength and durability of cementitious systems. Various studies have demonstrated that CWP can be effectively used as a partial replacement for cement in cementitious systems. This can reduce the carbon footprint of construction activities by reducing the demand for Portland cement. However, the optimal amount and particle size of CWP have not been fully determined, and further research is required to optimize its use in cementitious systems. In addition, the technical and economic challenges associated with the use of CWP in construction must be further investigated to ensure its effective implementation.

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“…CWP though does not offer high strength in its early stages, offers suitable pozzolanic activity after 28 days [19,20]. Partly replacing the cement by CWP not only contributes to sustainable development but also enhances the properties of cement mortar and concrete by reduction in porosity and cracks [21][22][23][24][25]. Sharifi et al [26] demonstrated that the CWP can be used to improve the acid resistance of cement motors when used as a part replacement of cement.…”

Section: Introductionmentioning

confidence: 99%

Utilization of ceramic waste powder and rice husk ash as a partial replacement of cement in concrete

Nalli¹,

Vysyaraju²

2022

IOP Conf. Ser.: Earth Environ. Sci.

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Ceramic waste powder (CWP) and rice husk ash (RHA) are one of the highly produced waste materials from tiles industry and rice processing units respectively. Using these materials in concrete as a part replacement for cement offers several advantages like reducing the burden on landfills, reducing the construction cost by replacing costly cement and improvement in performance of concrete etc. due to their mineral composition. In the current study, an effort was made to partly replace the cement with CWP and RHA. Concrete design mix was carried out by using 0, 5, 10, 15 and 20% CWP and varied proportions of RHA were tried on the optimum CWP for cement replacement (0, 5, 10, 15, 20%). Tests were carried out on the fresh and hardened concrete specimens to study the mechanical properties of concrete. Analysis of the test results indicate that 15% CWP yielded best results and 10-15% RHA in combine proportion was found to be the optimum replacement of cement offering higher strength when assessed to the conventional concrete. Maximum compressive strength achieved at 15% CWP and 15% RHA whereas, the flexural strength and split tensile strength were attained at 15% CWP and 10% RHA dosage.

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Utilization of ceramic waste powder in cement mortar exposed to elevated temperature

Cited by 11 publications

References 43 publications

Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

Review of the Properties of Sustainable Cementitious Systems Incorporating Ceramic Waste

Utilization of ceramic waste powder and rice husk ash as a partial replacement of cement in concrete

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