Study About Aggregates Machines

Estimation on compressive strength of recycled aggregate …

The authors wish to gratefully acknowledge the support of these organizations for this study. Citation. Yang, S., Chen, T. and Xu, Z. (2024), "Estimation on compressive strength of recycled aggregate self-compacting concrete using interpretable machine learning-based models", Engineering Computations, Vol. 41 No. 10, pp. 2727-2773.

Experimental study on recycled coarse aggregate of concrete

However, according to a previous study, the use of recycled concrete results in a decrease in the concrete's strength as well as other characteristics. The incorporation of aggregate as one of the basic components in the production of concrete is crucial to the operation. 35 to 40 percent of the entire concrete mixture consists of coarse aggregate.

Machine Learning Prediction Models to Evaluate the …

This study aimed to employ two ensemble machine learning algorithms to anticipate the compressive and flexural strength of recycled aggregate concrete (RAC). Gradient boosting …

Performance and optimisation study of waste plastic aggregate …

Therefore, feasibility of the usage of single used plastic (PET and PE) made aggregates in M20 and M25 grade cement concrete as partial replacement of natural coarse and fine aggregate were ...

Enhancing the predictive accuracy of recycled aggregate …

Researchers worldwide are studying the use of recycled coarse aggregates (RCA) as a partial alternative to natural coarse aggregates in concrete due to their sustainability and...

Classification of geogrid reinforcement in aggregate using …

The present study proposes a novel ML methodology for differentiating between unstabilized aggregate specimens and those stabilized with triangular and rectangular …

Can Reclaimed Asphalt Pavement Aggregates be Effectively …

Geopolymer concrete (GPC) has emerged as a prominent choice in the construction industry as a sustainable alternative binder. This research delves into the performance of paving-grade GPC by recycling reclaimed asphalt pavement (RAP) as a replacement for natural coarse aggregates. The experimental framework comprehensively …

Compressive strength of concrete with recycled aggregate; a …

In this research, therefore, an attempt has been made to assess the effect of incorporating recycled fine aggregate, recycled coarse aggregate and recycled fine and coarse …

Prediction of resilient modulus and critical dynamic stress of …

To investigate the performance, strength, and durability of recycled CDW materials filled in railway and/or highway substructures, several experimental tests on the resilient modulus (M r) and permanent deformation (PD) of CDW materials were carried out.The main purpose of these studies was to compare the differences in mechanical characteristics between CDW …

Optimizing flexural strength of RC beams with recycled aggregates …

Eight beams, including those with natural aggregates, recycled aggregates, fly ash, and CFRP, were tested. The study employs state-of-the-art machine learning frameworks, including Random Forest Regressor (RFR), XGBoost (XGB), and LightGBM (LGBM).

Geopolymer-Based Artificial Aggregates: A Review on …

It has been demonstrated that the geopolymer system has exceptional features, such as high strength, superior durability, and greater resistance to fire exposure, making it a viable …

A Case Study-Aggregate Planning | PDF | Inventory | Business

A Case Study-Aggregate Planning - Free download as Word Doc (.doc), PDF File (.pdf), Text File (.txt) or read online for free. Ryder Machine Tool Company has transitioned from producing standardized controls to custom machine tools, bringing production problems. Their backlog has fluctuated from 3-24 months but is now at 8 months due to cancellations.

INVESTIGATIONS OF THE DYNAMICS OF A FOUR …

Investigation presented aims to study theoretically the dynamics of a multi-element MTA and to compare it with experimental data through mathematical simulation of a dynamic model based …

Cellular Handling of Protein Aggregates by Disaggregation Machines

In general terms, a protein aggregate can be considered as a non-functional assembly of single or multiple types of proteins. As stated above, aggregates can adopt a wide variety of different protein conformers, varying from highly disordered to near-native states and structured amyloids (Chiti and Dobson, 2017; Wallace et al., 2015).

Performance Evaluation of Automated Machines for …

Abstract. Several automated devices are commercially available for measuring the gradation of stone aggregates. These computerized machines, which provide a rapid alternative to manual sieving, capture and process two-dimensional digital images of aggregate particles to determine grain size distribution. Five of these automated gradation devices were evaluated …

AI-Assisted optimisation of green concrete mixes

Concrete is the most commonly used material in the construction industry [1].However, with more than 10 billion tons of annual production, concrete manufacturing contributes to 8% of global greenhouse gas emissions, 3% of global energy use, and significant natural resource depletion [2].Therefore, the transition towards more sustainable concrete …

Optimizing Recycled Aggregate Concrete for Severe …

Keywords: Recycled aggregate concrete; Machine learning; Sustainable construction; Durability; Aggressive environment. Received: 21 March 2024; Revised: 06 July 2024; Accepted: 11 July 2024. Article type: Review article. 1. Introduction aggregates within concrete matrices, particularly in Recycled Aggregate Concrete (RAC) stands at the forefront of

To predict the compressive strength of self compacting …

This study aims to apply machine learning methods to predict the compression strength of self-compacting recycled aggregate concrete. To obtain this goal, the ensemble methods: Random Forest (RF ...

Identification of Aggregates Quarries via Computer Vision

The mineral raw materials industry is crucial for European industry, with the European Economic and Social Committee estimating that 70% of the industry relies directly or indirectly on its supply. In the context of a decarbonized and digitalized economy, the new European industrial model requires carbon-neutral raw materials and production processes. …

Prediction of resilient modulus and critical dynamic stress of …

To further analyze the stability differences between the model established in this study and common machine learning (ML) regression algorithms proposed in the literature for recycled aggregates or coarse-grained soils, the ANN, support vector regression (SVR), and random forest (RF) regression models were established for 300 sets of resilient ...

Study on green concrete replacing natural fine and coarse aggregate …

Study on green concrete replacing natural fine and coarse aggregate by plastic waste – An experimental and machine learning approach ... characteristics of M30 grade concrete are thoroughly analyzed by replacing natural aggregates using RPE and WPET-based aggregate. Additionally, machine learning tool were used for predicting different ...

Prediction of strength properties of concrete under the …

After evaluating its qualities, we used the recovered recycled aggregate in this study as a partial replacement for fine aggregate. The primary goal of the proposed research is to assess the impact of replacing natural fine aggregate on strength of concrete and predicting the strength characteristics by utilizing methods based on machine ...

Study of aggregate dormancy and its effects on the …

The coarse aggregate is poorly graded but more of uniformly graded because the co-efficient of curvature lies between 1 and 3.This confirms that the coarse aggregates possess little or no fine sized aggregate because rain or water run-off within the study years have negligible impact on the coarse aggregate over the study years.

Prediction of mechanical properties of recycled aggregate fly …

In this study, Compressive and Tensile Strength and Slump were investigated. The study employs ML algorithms to predict the mechanical properties of FARAC. The effect of …

Investigation on compressive strength of coral aggregate …

The compressive strength of coral aggregate concrete (CAC-CS) holds importance in structural engineering and architectural design. Thus, this study establishes machine learning models for the prediction of CAC-CS and assesses their accuracy and generalization capability.

Study of recycled concrete properties and prediction using machine …

Some scholars have investigated the influence of recycled brick aggregate (BA) content on concrete properties. Liu et al. [3] used coconut shell crushed aggregate and BA to replace natural aggregate (NA) in the production of RAC.Their testing revealed that the mechanical properties of RAC not only met the requirements for lightweight aggregate …

A Study on Replacement of Coarse Aggregate …

Several studies regarding the observation of aggregate wear using the Los Angeles machine show that aggregate wear affects the quality of aggregate resistance [9] [10]. However, there is still no ...

Permeability and porosity of light-weight concrete with …

Performance and optimisation study of waste plastic aggregate based sustainable concrete–a machine learning approach. Clean. Waste Syst. (2022) ... Modeling green recycled aggregate concrete using machine learning and variance-based sensitivity analysis. Construction and Building Materials, Volume 440, 2024, Article 137393.

(PDF) THE EFFECT OF ROTARY TILLER AND OTHER MACHINES …

The effect of rotary tiller and other machines for tillage on the soil structure aggregates 257 from 1.06 to 1.26 g/cm 3 depending on the depth, approximat elly 1.18 g/cm 3 .

Discovery of ultra-weakly coupled β-carotene J-aggregates by machine …

Flowchart of the work discussed in this study. 103 examples of H- and J-aggregates were selected to construct the database based on five different features. Five state-of-the-art machine learning models have been applied to train the dataset, which further lead into the successful preparation of ultra-weakly coupled β-carotene aggregates ...