Investigating the Ultrasonic Pulse Velocity of Concrete Containing Waste Marble Dust and Its Estimation Using Artificial Intelligence

Yang, Dawei; Zhao, Jiahui; Suhail, Salman Ali; Ahmad, Waqas; Kamiński, Paweł; Dyczko, Artur; Salmi, Abdelatif; Mohamed, Abdullah

doi:10.3390/ma15124311

Cited by 18 publications

(8 citation statements)

References 58 publications

(71 reference statements)

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“…This may have the reasons: Due to enhance in packing density of concrete the density of hardened concrete is more than controlled concrete, which resulted in reduction of pulse velocity. Similar kind of results were also observed by Gupta et al [47], yang et al [57]. while the lowest UPV value was 3699 m/s for concrete mix.…”

Section: Non-destructive Testing 441 Ultrasonic Pulse Velocity Testsupporting

confidence: 88%

Investigation on sustainably developed concrete by valorizing granite waste as replacement of fine aggregates

Reddy,

Choudhary,

Sharma

et al. 2023

Preprint

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Concrete that uses waste from the granite industry as a mixing component consumes less natural aggregate and has fewer disposal issues. Impact of recycled granite particles on the characteristics of concrete is discussed in this paper. Investigations were conducted on concretes with 0.4 and 0.5 w/c ratios with various partial and complete substitution percentages of granite particles as natural sand by weight. More specifically, the percentages of replacement followed were 0% – 100% with an interval of 10% (i.e., 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, and 100%). The mechanical and durability tests enlisting compressive strength, flexural strength, split tensile strength and water penetration test, abrasion resistance test for mechanical parameters and durability parameters respectively were performed. Moreover, ultrasonic pulse velocity and rebound hammer test were also done to assess the mechanical property through non-destructive testing method. In comparison to nominal concrete, the tests revealed that presence of granite slurry had positive effect on the concrete's compressive strength upto 40% replacement for both the water cement ratios. However, the outcomes indicated that adding 50% of waste granite to concrete reduced its compressive and tensile strength, with the impacts being more intense in the case of higher replacements. Moreover, the presence of granite particles made fresh concrete less workable. The weakened intermediate region between aggregate and cement paste was seen in microstructure photographs of the concrete containing granite cutting waste.

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Section: Non-destructive Testing 441 Ultrasonic Pulse Velocity Testsupporting

confidence: 88%

Investigation on sustainably developed concrete by valorizing granite waste as replacement of fine aggregates

Reddy,

Choudhary,

Sharma

et al. 2023

Preprint

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“…The weighted sum is then passed through an activation function, which determines the output of the neuron. The activation function introduces non-linearity into the model and allows neural networks to learn complex patterns and relationships (Saraswathi and Tamilarasi, 2012;Yang, 2022).…”

Section: Indicators For Estimation Research Parametersmentioning

confidence: 99%

Real-Time Forecasting of Key Coking Coal Quality Parameters Using Neural Networks and Artificial Intelligence

Dyczko

2023

MGPB

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High quality coke is a key raw material for the metallurgical industry. The characteristics of the coal have a significant influence on the parameters of the coke produced and, consequently, on the valuation of coal deposits and the economic assessment of mining projects. Predicting the quality of coking coal allows for the optimisation of production processes, including the planning and management of operations and the early detection of quality problems. In this study, using the principles of a smart mine, it is proposed to determine the quality of coal based on the combination of mining and geological conditions of mineral deposits and its quality indicators. Possible interrelationships between the quality of the coal in the deposit and the characteristics of the final product have been identified. A neural network is used to determine the priority of individual indicators that have a significant impact on the quality of coking coal. An important part of the research is its practical implementation in the conditions of the Jastrzębska Spółka Węglowa SA. Qualitative and quantitative parameters of coking coals were obtained for each mine of the region by the method of sampling and statistical processing of data such as: degree of metamorphism, thickness, deviation of volatile substances, presence of phosphorus, ash content, etc. For their evaluation, the Group Method of Data Handling was used to compare the factors of quality indicators depending on the priority of influence on the final characteristics of the coking coal. Based on the results obtained, it is shown that not all coal quality indicators have a significant impact on the quality of the final product. The study shows that it is possible to predict the main indicators (CRI – Coke Reactivity Index, CSR – Coke Strength after Reaction) of coke quality using neural networks based on a larger number of coal quality parameters and to eliminate parameters that have virtually no influence on the value of the final product. This method can also be used to improve the results of economic valuation of a deposit and to better plan exploration and mining operations.

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“…This experience is useful for Kazakhstan in terms of using innovative solutions in the field of processing and recycling of ash and slag waste in domestic practice [28], [29]. The problem of slag utilization in construction remains a pressing challenge, since almost all research is limited to experimental development [30]- [32] All this makes it imperative to conduct targeted integrated research, both of the slag itself and of materials based on it. Therefore, today waste management has become particularly relevant as one of the key directions of a "green" economy development in Kazakhstan, that is, the preservation and effective management of ecosystems [33].…”

Section: Figure 1 Ash and Slag Waste Generation In The Regions Of The...mentioning

confidence: 99%

Studying the properties of ash and slag waste for use in the manufacture of construction products

Nurpeisova,

Estemesov,

Gabbasov

et al. 2023

Min. miner. depos.

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Purpose. The research purpose is to study the physical-chemical properties of ash and slag waste generated during the coal combustion at the Ekibastuz field in Kazakhstan, to determine the possibility of using waste as a secondary resource to reduce the negative human impact on the environment. Methods. The research uses the methods of X-ray phase and differential thermal analysis, as well as chemical analysis. The X-ray phase analysis makes it possible to determine the phase composition and structure of ash and slag wastes, while differential thermal analysis is used to study their behavior with temperature changes. A chemical analysis is performed to determine the composition of ash and slag. Findings. The chemical and granulometric composition of ash and slag waste from the Ekibastuz field coal combustion has been determined. Analysis of the ash chemical composition showed that its main components are silicon and aluminum oxides, as well as a significant amount of iron oxide. The results obtained confirm the possibility of using ash and slag waste as a secondary raw material to reduce the negative impact on the environment. Originality. It has been revealed that the thermal conductivity, ultimate strength and water-absorption of ceramic brick samples depend on the amount of ash added and the firing temperature. The possibility of obtaining building materials with minimum cement content has also been substantiated, which is a new and promising approach, given the high cost of cement as the main building material. Practical implications. The practical value of the research is in solving environmental problems associated with the use of ash and slag waste. Using these wastes as a secondary raw material, it is possible to reduce the anthropogenic burden on the environment, as well as the volume of ash dumps. In addition, vacant land previously occupied by ash and slag mixtures can be used for economic purposes.

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Investigating the Ultrasonic Pulse Velocity of Concrete Containing Waste Marble Dust and Its Estimation Using Artificial Intelligence

Cited by 18 publications

References 58 publications

Investigation on sustainably developed concrete by valorizing granite waste as replacement of fine aggregates

Investigation on sustainably developed concrete by valorizing granite waste as replacement of fine aggregates

Real-Time Forecasting of Key Coking Coal Quality Parameters Using Neural Networks and Artificial Intelligence

Studying the properties of ash and slag waste for use in the manufacture of construction products

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