The use of supplementary cementitious materials (SCMs) in the binder system of concrete mixtures can provide several environmental and technical benefits. Several previous studies have focused on evaluating the compressive strength (CS) of concretes containing SCMs using machine learning (ML) techniques. However, there have been a limited number of …
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Composite cement is produced using a lesser amount of energy than Portland cement and has found a wide usage area in the building sector due to the additional contribution of some improving properties. Artificial and natural pozzolan are materials widely used in the production of composite cement.
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In this paper, a green concrete CS prediction model was developed using hybrid artificial neural network with genetic algorithm (GA-ANN) based on 2479 green concrete CS experiment results. Also two prediction models based on support vector regression (SVR) and ANN algorithm were developed for comparison.
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Artificial sand is a process controlled crushed fine aggregate produced from quarried stone by crushing or grinding and classification to obtain a controlled gradation product that completely passes the 4.75mm sieve. Artificial sand …
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The present work aimed to study the artificial neural network (ANN) and its effectiveness for prediction of compressive strength (fc). Genetic algorithm (GA) was used for optimization of five different types of ANN networks viz. multilayer Perception network (MLP), generalized feedforward network (GFF), principal component analysis network (PCA), time …
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Erdal M Prediction of the compressive strength of vacuum processed concretes using artificial neural network and regression techniques Sci Res Essay 2009 4 10 1057-1065. ... Mohammed TU and Rahman MN Effect of types of aggregate and sand-to-aggregate volume ratio on UPV in concrete Constr Build Mater 2016 125 832-841. Google Scholar [15] Alwash ...
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Predicting the compressive strength of normal and High-Performance Concretes using ANN and ANFIS hybridized with Grey Wolf Optimizer. Constr. Build. Mater ... Predicting properties of High Performance Concrete containing composite cementitious materials using Artificial Neural Networks. Autom. Constr., 22 (2012), pp. 516-524, 10.1016/j.autcon ...
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Abstract This study seeks to present a sophisticated artificial intelligence (AI) framework to model the compressive strength (fc′$$ {f}_c^{prime } $$) of concrete ... Compressive strength prediction of sustainable concrete containing waste foundry sand using metaheuristic optimization-based hybrid artificial neural network. Ramin Kazemi ...
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Large-scale cement and natural fine aggregate use in construction has negative environmental effects. Considering this issue in this study crushed sand, and wastes from industries such as metakaolin, Fly ash, blast furnace slag and micro silica used as replacement for cement. To estimate the impact strength and chloride permeability of concrete made by …
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This study focuses on modelling sustainable concretes' mechanical and environmental properties with interpretable artificial intelligence-based automated rule extraction, management of waste materials, and meeting future prospects. In this context, 24 …
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Normal Concrete (NC) usually contains Ordinary Portland Cement (OPC), Coarse Aggregate (CA), Sand (S), and water. Recently, a lot of attentions have been given to the use of alternative materials in the concrete mixtures to produce more sustainable concretes.
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that coarse aggregates (sand) or fineness (sand) or both are made of light natural or artificial materials [1, 2]. Many researchers [3, 4, 5] in their investigations demonstrated that LWAC has its own
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Concretes made with different fine aggregates (natural river sand, artificial crushed sand, artificial gravel sand and a hybrid sand (50% river sand and 50% gravel sand by mass)) …
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The materials selected for the preparation of the control and the RCSAs-based mortars were CEM I 42.5 R cement with no supplementary cementitious materials, perlite as a mineral addition, natural silica sand and recycled concrete sand aggregates collected from crushed concretes featuring a C25/30 compressive strength class.
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The specific objectives are focused in this research as follows: 1) to explore the synergy effect on improving the workability and mechanical properties of the concrete using crushed sand combined with river sand, 2) to investigate the effect of adding fine crushed sand < 0.14 mm in concrete mixture on its workability and resistance under ...
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DOI: 10.1016/J.CONBUILDMAT.2021.123314 Corpus ID: 235520853; Predicting the mechanical properties of sustainable concrete containing waste foundry sand using multi-objective ANN approach
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Studying the mechanical parameters of concrete meets difficulties when using laboratory works. For instance, the possibility of experimental errors and executing costly and time-consuming tests are major reasons for preferring more advanced methods like machine learning [6], [7], [8].On the other hand, due to incorporating several ingredients that affect the …
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6. CONCLUSIONS Based on above study following conclusions are drawn Compressive strength of concretes with Artificial Sand is 6.5 – 9% higher when compared to the results using natural sand. Use of Artificial Sand exhibits 12 – 15% higher flexure strength in comparison to the results of concrete with natural sand. The bond strength is found ...
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Concretes made with different fine aggregates (natural river sand, artificial crushed sand, artificial gravel sand and a hybrid sand (50% river sand and 50% gravel sand by mass)) were experimentally investigated. The concretes were found to have little differences in compressive strength and elastic modulus (less than 6.4%). Compared with the concrete …
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Abstract— This paper give the experimental study of optimum replacement of natural sand with artificial sand in concrete Concrete may be a combine proportion of cement, sand and mixture. …
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In this study an artificial neural network (ANN) and fuzzy logic (FL) were used to predict the compressive strength of concrete produced with diesel contaminated sand. Concrete was produced using sand contaminated with diesel at 0, 0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 5 and 10 percent, and each batch cured for 7, 14, 28, 58, 90 and 118 days. The compressive strength of …
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The construction industry has long relied on river sand for concrete production, but environmental concerns and dwindling sand reserves have prompted the search for alternatives. Manufactured sand (M-sand) has …
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In the present study, we developed M80 grade of high strength concrete using fully replacement of artificial sand as fine aggregate and fly ash, silica fume as supplementary cementaneous …
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There is consistent increase in strength of concrete by replacing natural sand with artificial sand up to 60%. A decline in the strength of concrete after testing done after 28 days has been …
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Prediction of the compressive strength of normal and high-performance concretes using M5P model tree algorithm ... Some of the machine learning techniques that have been used to predict the CS of concretes include artificial ... (BFS), superplasticizer (SP), coarse aggregate (CA), and fine aggregate or sand (S). In addition, CS value and the ...
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Due to developments in AI, Machine Learning (ML) approaches can be utilized to determine the mechanical characteristics of concrete (Feng, 2020, Paul et al., 2018, Paul et al., 2019).Artificial neural network (ANN) approaches were employed to predict the compressive strengths of the RCAC (Duan et al., 2013).In order to forecast the compressive strength of the …
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Artificial Intelligence (AI) refers to the simulation of human intelligence in machines, allowing them to perform tasks that typically require human intelligence, such as learning, reasoning ...
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Fine aggregates may be one of the following types; Natural sand, crushing natural gravels, crushing hard stones (artificial sand). With natural sand deposits the world over drying up, …
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One of the salient features of the lightweight aggregates is its water absorption characteristic and hence presoaking or the use of additional water is vital. The pores in palm oil clinker sand absorb the mortar and enhances the bond property and a high strength concrete of 60 MPa cube compressive strength was registered. The density reduction ...
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Request PDF | Modelling the effects of petroleum product contaminated sand on the compressive strength of concretes using fuzzy logic and artificial neural networks: A case study of diesel: | In ...
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Prediction of the Compressive Strength of Waste-Based Concretes Using Artificial Neural Network. Mouhamadou Amar, 1, 2, * Mahfoud Benzerzour, 1, 2 Rachid ... analysis of Levenberg—Marquardt and Steepest Descent algorithms based ANN to predict compressive strength of SIFCON using manufactured sand. Eng. Sci. Technol. Int. J. 2017; 20:1396 ...
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Keywords- Natural Sand, Artificial Sand, Concrete Mix, Compressive Strength, Split Tensile Strength. 1. INTRODUCTION Natural sand is a admixture of small grains of gemstone and …
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The artificial sand have to satisfy the technical requisites such as workability, strength and durability of concrete and hence it has become necessary to study these properties in order to check the suitability and appropriate replacement level of artificial sand in comparison with the natural sand for producing concretes in an economical way ...
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Similarly another Artificial material called Manufactured Sand (M-Sand) is also used as the fine aggregate against the normal river sand. Concrete beams of size 100 x 150 x 1000 mm were prepared ...
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Concrete is one of the most common construction materials used all over the world. Estimating the strength properties of concrete traditionally demands extensive laboratory experimentation. However, researchers have increasingly turned to predictive models to streamline this process. This review focuses on predicting the compressive strength of self …
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4.2 Compressive strength. Compressive strength is the most important mechanical property used as an indicator for other properties in concrete and mortar. Using WDCG as a partial replacement of coarse aggregate in normal-strength concrete has a negative effect on hurts the compressive strength value since WDCG is an artificial particle that is composed of …
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Although other authors have obtained results in slight opposition, it can be concluded that a suitable recycling of discarded foundry sand as building construction material could be suggested the same, manufacturing structural mortars and concretes with it as a partial replacement of natural sand. S. Monosi et al. [3], studying the use of a foundry sand of grain …
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The recycled waste glass was proportioned in levels of 25%, 50%, 75% and by weight to substitute sand in the concrete using a mix ratio of 1:2:4 (cement:sand:gravel) at a W/C ratio of 0.5 ...
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