Use of recycled aggregate concrete in structural …
— This article presents a comprehensive review on the use of recycled concrete aggregate (RCA) and recycled aggregate concrete (RAC) in construction, with emphasis on structural applications and …
Modeling the mechanical properties of recycled aggregate concrete …
— Recycled aggregate concrete (RAC) involves recycled concrete aggregates obtained after crushing, cleaning, and grading of waste concrete blocks, which either partially or completely replace natural sand and gravel (Guo et al., 2018; Shi et al., 2016; Tam et al., 2021). The primary distinction between recycled aggregates and natural …
Interpretable machine learning model for evaluating …
— Interpretable machine learning model for evaluating mechanical properties of concrete made with recycled concrete aggregate ... this paper is to use the data-driven approach to predict and evaluate the mechanical properties of concrete made with recycled concrete aggregate (RCA), including compressive strength and elastic modulus. Using …
Estimation of compressive strength of recycled aggregate concrete …
— This study uses random forest (RF) analysis to present a novel method for estimating the compressive strength (Fc) of concrete made with recycled aggregate (RAC). The intricate interactions between various components make it challenging to achieve the desired Fc through the best mixture proportions. The 441 samples are used with six …
Prediction on compressive strength of recycled aggregate …
— Prediction on compressive strength of recycled aggregate self-compacting concrete by machine learning method. Author links open overlay panel Suhang Yang a, Jingsong Sun a, Xu Zhifeng b. Show more. Add to Mendeley. ... Recycled aggregate self-compacting concrete (RASCC) has become one of the main topics worthy of research in …
Recycled Aggregate: A Viable Solution for …
— Construction and demolition activities consume large amounts of natural resources, generating 4.5 bi tons of solid waste/year, called construction and demolition waste (C&DW) and other wastes, …
A methodology for stress-strain behavior
— The characterization of stress-strain behaviors of recycled aggregate concrete (RAC) excluding physical properties of recycled aggregates (RAs) may result in an inaccurate prediction of mechanical responses in practical applications. ... Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine …
Compressive strength of concrete with recycled …
— Compressive strength of concrete with recycled aggregate; a machine learning-based evaluation. March 2022. Cleaner Materials 3 (1):100044. DOI: 10.1016/j.clema.2022.100044. License. CC...
Innovative modeling framework of chloride resistance of recycled
— Innovative modeling framework of chloride resistance of recycled aggregate concrete using ensemble-machine-learning methods. Author links open overlay panel Kai-Hua Liu a, Jia ... Analyzing chloride diffusion for durability predictions of concrete using contemporary machine learning strategies. Materials Today Communications, Volume …
Machine learning models for predicting compressive …
— Recycled concrete aggregate (RCA) is an increasingly popular material used as an aggregate in construction projects. It is an economical alternative to traditional crushed stone or gravel. ... The most popular machine learning algorithms for concrete strength prediction include Support Vector Machine (SVM), Decision Trees, Random …
Exploring elastic properties of fly ash recycled aggregate concrete
— The adoption of recycled-aggregate concrete has gained traction in response to increasing environmental concerns, meeting the demands of the construction industry. ... Modeling the mechanical properties of recycled aggregate concrete using hybrid machine learning algorithms. Resour Conserv Recycl, vol. 190 (2023), …
Predicting the compressive strength of fiber-reinforced …
— Fiber-reinforced recycled aggregate concrete (FR-RAC) has recently gained more popularity because of its advantages, high strength, eco-friendliness, and cost …
Compressive behavior of eco-friendly concrete
— Construction and demolition waste, including recycled concrete aggregate and recycled glass, can be incorporated into civil engineering applications to address environmental concerns and promote sustainable development. ... crush these stones to the required particles size using an electric crushing machine in the concrete laboratory (Fig. …
Prediction of properties of recycled aggregate concrete …
— This paper presents the state-of-the-art the machine learning algorithms used to predict the properties of recycled aggregate concrete (RAC). The main conclusions can be drawn as follows: (1)
Compressive strength of concrete with recycled aggregate; a machine …
— A concrete mixture available in the literature (Poon et al., 2004) is chosen and natural fine aggregate, natural coarse aggregate and both natural fine and coarse aggregate are replaced with recycled fine aggregate, recycled coarse aggregate and recycled fine and coarse aggregate, respectively in a range of 0–90% with the step of …
Machine learning-based prediction method for drying …
1. Introduction. Recycled aggregate concrete (RAC) has gained widespread application due to its advantages in promoting the reuse of construction waste, reducing environmental impact, and cutting economic costs [1, 2].During the production of RAC, the mortar from the original concrete adhered to the aggregate surface, leading to distinct properties in the …
A comprehensive review on the use of recycled concrete …
— Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon …
Performance of construction and demolition waste as …
— This article presents a structured and comprehensive review of the existing literature on physical, chemical, microstructure, and durability properties of recycled …
Recycled Concrete Aggregates: A Review | International …
— After demolition of old roads and buildings, the removed concrete is often considered worthless and disposed of as demolition waste. By collecting the used concrete and breaking it up, recycled concrete aggregate (RCA) is created (Fig. 1).This paper focuses on coarse RCA which is the coarse aggregate from the original concrete that is …
AI-Assisted optimisation of green concrete mixes incorporating recycled
— Machine learning prediction of carbonation depth in recycled aggregate concrete incorporating SCMs Constr. Build. Mater., 287 ( 2021 ), Article 123027, 10.1016/j.conbuildmat.2021.123027
To determine the compressive strength of self-compacting recycled …
— To determine the compressive strength of self-compacting recycled aggregate concrete using artificial neural network (ANN) Author links open overlay panel Jesús de-Prado-Gil a, Rebeca Martínez-García b, ... Machine learning for SCC in literature is shown in Table 14. ANN shows better results based on sensitive assessments for SCC is noted.
Predicting corrosion of recycled aggregate concrete under …
— The growing use of recycled concrete aggregate (RA) in concrete has raised concerns about their corrosion, which affect their properties, particularly in harsh environments. This research utilizes a set of experiments to evaluate the properties of recycled aggregate concretes (RACs) subjected to acid rain using magnetic water (MW) …
Bond strength between recycled aggregate concrete and …
— Generation of recycled aggregate concrete bond strength. After one end of the rebar is buried in the recycled aggregate concrete mix and cured for a particular time, it becomes resistant to being pulled out when an external force F is applied to the other end of the rebar. This indicates the existence of forces acting at the interface between ...
Machine learning-based approach for optimizing mixture …
— Machine learning-based approach for optimizing mixture proportion of recycled plastic aggregate concrete considering compressive strength, dry density, and production cost. Author ... Performance and optimisation study of waste plastic aggregate based sustainable concrete – a machine learning approach. Cleaner Waste Systems, 2 …
Recycled Aggregates
— It is the prerequisite for recycling waste concrete that the technique of reclaiming, crushing, and manufacturing recycled aggregate (RA). Based on the existing abroad and domestic techniques of crushing waste concrete and recycled aggregate modification [], considering the condition of engineering in China, techniques of RA …
Mobile Concrete Crushers: 90-385 TPH
RUBBLE MASTER's mobile impact crushers can be configured to meet any spec so you can tackle more jobs with a single machine. Meet Your Spec. High-quality recycled concrete aggregates with excellent gradation for dense-graded aggregate (DGA) base and …
Predicting the Splitting Tensile Strength of Recycled Aggregate …
— The application of waste materials in concrete is gaining more popularity for sustainable development. The adaptation of this approach not only reduces the environmental risks but also fulfills the requirement of concrete material. This study used the novel algorithms of machine learning (ML) to forecast the splitting tensile strength (STS) …
Multi objective optimization of recycled aggregate concrete …
— There is a consensus that the performance of RAC is affected by a combination of factors such as water-cement ratio, replacement ratio of recycled coarse aggregate, curing age, etc (Liang et al., 2021; Liu, et al., 2022a, b), so the traditional method based on control variables may not be able to effectively analyze these …
Machine learning models for predicting compressive …
— Recycled concrete aggregate (RCA) is an increasingly popular material used as an aggregate in construction projects. It is an economical alternative to traditional crushed stone or gravel. ... An overview of predicting the mechanical properties of rubberized concrete using different machine-learning algorithms has been presented. …
Efficient creep prediction of recycled aggregate concrete via machine …
— This study proposed the surrogate model to predict recycled aggregate concrete (RAC) creep behavior utilizing machine learning (ML). • Both grid search algorithm and k-fold cross-validation were utilized to find the optimal hyperparameters.
Recycled Concrete Aggregate
Reuse of recycled aggregate in the production of alkali-activated concrete. P. Chindaprasirt, T. Cao, in Handbook of Alkali-Activated Cements, Mortars and Concretes, 2015 19.2 A brief discussion on recycled aggregates. Recycled aggregate is defined as aggregate resulting from the processing of inorganic or mineral material previously used in construction (BS …
Recycled Aggregate Concrete (RAC)
— Recycled Aggregate Concrete (RAC) is basically concrete mix that is prepared from crushed aggregates and concrete which has already been used in …
Multi-objective optimization design of recycled aggregate concrete
— A database on compressive strength of recycled aggregate concrete is built up. • The compressive strength prediction models with high accuracy are constructed. • The multi-objective optimization design of recycled aggregate concrete mixture proportions based on machine learning and NSGA-II algorithm is carried out. •
Machine learning prediction of carbonation depth in recycled aggregate
— The rapid growth of the concrete industry has caused several environmental issues, such as the depletion of natural aggregates, overload of landfills, and CO 2 emission released to the atmosphere [1], [2], [3].One latent solution to decreasing the environmental footprint of concrete production is the reuse of construction and demolition waste (CDW) …
An ensemble machine learning approach for prediction and optimization
— This study presented the first application of an ensemble machine learning (ML) model – formulated by combining the random forests (RF) model with support vector machine (SVM) within a weighted voting framework – to predict the modulus of elasticity (MOE) of recycled aggregate concrete [i.e., wherein the natural coarse aggregate …