Predicting the compressive strength of concrete with fly ash …
The significance and novelty of this research are (1) conducting experimental work for fly ash-based concrete (FAC) through ASTM standards, and (2) making FAC model using the Machine learning (ML) algorithms. Moreover, the focus of this study is based on the prediction and comparison of concrete (fly ash based) compressive strength via ...
A Comparative Study for the Prediction of the …
Strength of Self-Compacting Concrete Modified with Fly Ash Furqan Farooq 1,2, Slawomir Czarnecki 3,*, ... Artificial intelligence and machine learning are employed in creating functions for the
Fly ash-based artificial aggregates synthesized through alkali-activated cold-bonded pelletization technology
By utilizing this advantage we can produce artificial aggregates from the waste fly ash with a comparatively minimal cost rather than the existing techniques like sintering and autoclaving. …
Prediction model for the compressive strength of green …
This research aims to predict the compressive strength of green concrete that includes a ratio of cement kiln dust (CKD) and fly ash (FA), as industrial by-products, using two methods: artificial ...
Fly Ash Brick Making Machine
Find here Fly Ash Brick Making Machine, Fly Ash Brick Press Machine manufacturers, suppliers & exporters in India. Get contact details & address of companies manufacturing and supplying Fly Ash Brick Making Machine, Fly Ash Brick Press Machine, Fly Ash Bricks Machine across India.
Machine learning prediction of the unconfined compressive …
Khan et al. 41 introduced advanced artificial intelligence models such as GBT, ANFIS, and GEP to predict the CS of ground-granulated blast furnace slag (GGBFS) and fly …
Experimental Investigation on Artificial Light Weight Fly Ash
This paper studies the effect of artificial light weight fly ash aggregate in concrete and its mechanical properties. Artificial light weight fly ash aggregates can be produced by a process called pelletization by nodulizing the fly ash with the correct amount of water and binder in a pelletizer and further hardened by cold bonding method ...
Research on prediction of compressive strength of fly ash …
Every year, a large amount of solid waste such as fly ash and slag is generated worldwide. If these solid wastes are used in concrete mixes to make concrete, it can effectively save resources and protect the environment. The compressive strength of concrete is an essential indicator for testing its quality, and its prediction is affected by many factors. It is difficult to …
Mixed artificial intelligence models for compressive strength
Download Citation | On Nov 1, 2023, Wei Liang and others published Mixed artificial intelligence models for compressive strength prediction and analysis of fly ash concrete | Find, read and cite ...
Fly Ash Processing Equipment
From conditioning fly ash for landfill, to agglomerating it for use in industrial applications, FEECO has your fly ash processing needs... FEECO provides custom, high-quality agglomeration and bulk material handling equipment for …
Novel machine learning applications on fly ash based …
In India, the coal based thermal power plants have become backbone of power generation, which generate around 70 percent electricity of total demands for achieving India's economic growth of about 8–9 percent [27].So, huge amount of fly ash is being generated at coal based thermal power plants, and the generation has been increased from 68.88 million tons in …
Prediction of engineering properties of fly ash-based
Fly ash-based geopolymer has been studied extensively in recent years due to its comparable properties to Portland cement and its environmental benefits. However, the uncertainty and complexity of design parameters, such as the SiO2/Na2O mole ratio in alkaline solution, the alkaline solution concentration in liquid phase, and the liquid-to-fly ash mass ratio …
Compressive Strength Prediction of Fly Ash Concrete Using Machine …
It is time-consuming and uneconomical to estimate the strength properties of fly ash concrete using conventional compression experiments. For this reason, four machine learning models—extreme learning machine, random forest, original support vector regression (SVR), and the SVR model optimized by a grid search algorithm—were proposed to predict the …
A Data-Driven Influential Factor Analysis Method for Fly Ash…
AbstractAs a promising environmentally friendly construction material that can be used to replace concrete, fly ash-based geopolymer (FABG) should meet the working strength requirement. However, the optimal mixture design of FABG could be difficult to ...
Compressive strength prediction of fly ash-based …
The use of natural and artificial fibers along with cementitious binders in concrete can also improve the properties of concrete [22], [23], [24]. ... Predicting the compressive strength of concrete with fly ash admixture using machine learning algorithms. Constr. Build. Mater., 308 (2021), Article 125021, 10.1016/j.conbuildmat.2021.125021.
Machine Learning to Predict Workability and Compressive …
The potential substitution of Portland cement–based concrete with low- and high-calcium fly ash–based geopolymers was investigated. However, predicting the workability and compressive strength of geopolymers with the desired physical and mechanical properties is a complicated process because of the variety of chemical compositions found in aluminosilicate …
Machine learning interpretable-prediction models to …
This study used three artificial intelligence-based algorithms – adaptive neuro-fuzzy inference system (ANFIS), artificial neural networks (ANNs), and gene expression programming (GEP) – to develop empirical models for predicting the compressive strength (CS) and slump values of fly ash-based geopolymer concrete.
Compressive strength analysis of fly ash-based geopolymer …
Fly ash is the most commonly used source binder material for producing geopolymer concrete [7] due to its low cost, wide availability, and increased potential for preparing GPs.Using coal-burning waste products, fly ash-based geopolymer concrete (FA-GPC) is an adequate substitute that can reduce carbon dioxide emissions by 25%–45% [17].The type and …
Experimental investigation and comparative machine …
Recycled aggregates (RA) can provide a sustainable solution for replacing natural aggregates (NA) in the concrete mix. However, the stakeholders and inspection professionals lack confidence in predicting their compressive strength (CS) due to limited databases. Most of them solely focus on the concrete mix with natural aggregates only. Even though numerous researchers have …
ARTIFICIAL LIGHTWEIGHT AGGREGATE THROUGH COLD …
Commercially available lightweight aggregates, such as expanded clay or shale, and sintered fly ash (FA), are obtained through heat treatment 1000–1200°C.
Predicting abrasion resistance of concrete containing plastic …
Fly ash was used as a fractional substitute to cement. The fly ash was a class F type and has an SG and surface area of 2.54 and 363 m 2 /kg, respectively. The properties of the fly ash are also presented in Table I. Graphene nanoplatelets (GNPs) …
Properties of Fly Ash Geopolymer Concrete as Marine Artificial …
By changing the alkali-activator dosage, this investigation prepared fly ash geopolymer concrete (FGC) with different strength grades. FGC's mechanics, durability, and marine environmental compatibility were systematically studied as a marine artificial reef construction material.
Predicting the compressive strength of self‐compacting …
The use of Class F fly ash (CFFA) as a partial replacement of cement in the concrete mixture can provide a wide variety benefits such as improving the mechanical properties, reducing the construction costs, and enhancing the environmental conditions. ... For comparison purpose, the artificial neural network (ANN) was also used to model the ...
NETL Researchers Use AI and ML Methods To …
In this project, researchers used physics-based simulations to predict the adsorption of a pollutant in several distinct conditions in zeolites which could be synthesized from fly ash. Using these results, the researchers created a …
Using Artificial Neural Networks for the Prediction of the
Geopolymers are promising cement replacement materials as their use results in a considerable reduction of CO2 emissions. Geopolymer Fly ash (GF) is a widely used geopolymer due to its low cost and waste management achievement. The compressive strength of GF depends on variables such as curing time, curing temperature, NaOH molarity, the ratio of sodium silicate to sodium …
Full article: Machine learning prediction and optimization of
Within the field of artificial intelligence, machine learning (ML) is a subset that employs algorithms to learn from past performances and datasets. ... Ahmad, A., Khan, M. I., Aslam, F., & Kinasz, R. (2021). Prediction of compressive strength of fly-ash-based concrete using ensemble and non-ensemble supervised machine-learning approaches ...
Artificial intelligence prediction of the mechanical …
Aneja et al. 13 investigated fly-ash-based geopolymer concrete (GPC) strength, with bottom ash replacing fine aggregates, using a machine learning-based ANN model. Data inputs were from literature ...
Carbonation model for fly ash concrete based on artificial …
The coefficients found for the fly ash content were 0.10 for Pearson and 0.06 for Spearman. However, there is a small nonlinear tendency for carbonation to increase as fly ash content also increases, as seen in Fig. 5. Therefore, there is no direct relationship or monotonous profile of the carbonation depth with the fly ash content.
Machine learning prediction of the unconfined compressive …
The application of artificial intelligence (AI) to predict the UCS of CLSM mixes remains underexplored. ... J., Samui, P. & Kumar, S. Compressive strength prediction of fly ash concrete by using ...
(PDF) Compressive strength analysis of fly ash-based …
Compressive strength analysis of fly ash-based geopolymer concrete using machine learning approaches ... the machine learning approach was used to predict the C–S of FA-GPC through artificial ...