— This article presents a structured and comprehensive review of the existing literature on physical, chemical, microstructure, and durability properties of recycled …

 — 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) …

 — 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.

 — 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...

 — 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 …

 — 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)

 — 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. •

 — 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 …

 — Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon …

 — Mixture optimization of mechanical, economical, and environmental objectives for sustainable recycled aggregate concrete based on machine learning and metaheuristic algorithms. Author links open overlay panel Kaihua Liu a, Jiakai Zheng a, Shuxiong Dong a, Weili Xie a, ... Recycled aggregate concrete (RAC) has received rapidly growing …

RECYCLED CONCRETE USES. Old, unneeded concrete can be recycled and used to create recycled aggregate. In most cases, recycled aggregate will be used as a subbase material, but it can also be paired with materials and reused as an aggregate in new concrete. CA6 recycled PCC and Grade 8 recycled are common aggregates made from …

 — 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 …

Recycled Concrete Aggregate (RCA) To align with Singapore's vision in construction sustainability, Eastern Continent also recycle concrete debris from demolishing works and convert them into useable products as Recycled Concrete Aggregate (RCA). The primary process will be using excavator and jaw crusher to break up the concrete hardcore.

 — 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) …

 — Recycled Aggregate Concrete (RAC) is basically concrete mix that is prepared from crushed aggregates and concrete which has already been used in …

 — The variations in mechanical properties of geopolymer concrete (GPC) prepared with treated recycled concrete aggregate (RCA) in conjunction with a modified two-stage mixing approach (M-TSMA (sp-ggbs)) have been studied in the present research.Since GPC is prepared using fly ash (FA) and ground granulated blast slag …

 — 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 …

 — 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) …

 — 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 …

 — Influence of Bacillus Subtilis (B. Subtilis) bacteria on the strength characteristics of recycled concrete aggregate (RCA), incorporating silica fume (SF) as a substitution of cement, has been investigated in this study.Two groups of mixes (A for w/c=0.3 and B for w/c=0.35) were prepared using two different cement contents in each …

 — Introduction. 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 …

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 …

 — Lightweight concrete containing recycled plastic aggregates. In Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation, 527–533 (Atlantis ...

 — 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 …

 — 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, …

 — 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 …

 — 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.

 — 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 …

 — In the field of materials science, various soft computing approaches or machine learning (ML) have been adopted for predicting the CS and STS of concrete, such as artificial neural networks (ANNs), standard neural networks (SNNs), and Bayesian neural networks (BNNs) [17], [18].The literature contains numerous in-depth reports on using …