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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. •

Intelligent mix design of recycled brick aggregate concrete …

The mechanical properties of recycled brick aggregate concrete (RBAC) are significantly affected by design parameters such as recycled brick aggregate (RBA) replacement ratio and water-cement ratio, which not only increases the difficulty of designing RBAC by experimental or theoretical methods, but also makes the mechanical …

Enhancing Sustainable Concrete Production by Utilizing Fly …

Over the last decade, there has been a substantial increase in the amount of construction waste, leading to growing societal and environmental concerns around the …

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 …

Machine learning based prediction models for spilt tensile …

Fiber reinforced recycled aggregate concrete (FRAC) has been demonstrated to perform better in terms of fracture resistance [8], ... Data-driven shear strength prediction of steel fiber reinforced concrete beams using machine learning approach. Eng. Struct., 233 (2021), Article 111743, 10.1016/j.engstruct.2020.111743.

Assessing the compressive and splitting tensile strength of …

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 …

A Comprehensive Review on Recycled Aggregate and Recycled Aggregate …

Using recycled aggregates from construction and demolition waste can preserve natural aggregate resources, reduce demand of landfill, and contribute to sustainable built environment. This study provides a comprehensive review on recycled aggregate (RA) and recycled aggregate concrete (RAC) regarding their history, …

A Comprehensive Review on Recycled Aggregate and …

According to Park et al. (Park and Noguchi, 2013), the compressive strength of recycled aggregate concrete had a decrease up to 7% if 0.05% aluminium …

Compressive strength assessment of recycled aggregate concrete …

1. Introduction. The extensive amount of construction and demolition wastes produced has imposed a heavy burden on the environment in recent years, and it is estimated that about 67% of total construction waste materials in the United States is crushed concrete [1], [2], [3].One of the solutions to prevent this serious environmental …

Enhancing Sustainable Concrete Production by Utilizing Fly …

Over the last decade, there has been a substantial increase in the amount of construction waste, leading to growing societal and environmental concerns around the recycling of this refuse. Concrete waste is one of the most significant forms of construction waste. As a result, in order to examine the influence of recycled coarse aggregate …

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 …

AI-Assisted optimisation of green concrete mixes incorporating recycled

Maximising the content of supplementary cementitious materials as a partial replacement for Portland cement and using recycled concrete aggregates as a full or partial replacement for coarse aggregates are among the widely adopted strategies in the design of green concrete. ... Recycled concrete aggregate. Machine learning. Multi …

Prediction of properties of recycled aggregate concrete …

Recycled aggregates include coarse recycled aggregates (CRA) with a typical particle size range of 4.75–31.5 mm and fine recycled aggregates (FRA) between 0.16 and 4.75 mm [27]. Since RA obtained from CDW contains hardened cement paste …

Recycled Aggregates

RCA is the aggregate, with the particle size greater than 4.75 mm (Fig. 3.11 b, c), crushed and processed by waste concrete. RCA mainly contains NCA and …

Machine learning techniques for recycled aggregate concrete …

This study aims to arrive at models to correlate the mechanical properties of recycled aggregate concrete (RAC). An experiment was performed on the recycled coarse aggregate (RCA) ratio of 0%, 25%, 50%, and with 400kg/m3 of cement content, varying water-to-cement ratio (w/c) 0.3, 0.4, 0.48, and super plasticizer (SP) …

Experimental Study of Mechanical Properties and Theoretical …

With diminishing natural aggregate resources and increasing environmental protection efforts, the use of recycled fine aggregate is a more sustainable approach, although challenges persist in achieving comparable mechanical properties. Exploration into the incorporation of steel fibers with recycled aggregate has led to the development of …

Strength and Durability Evaluation of Recycled Aggregate Concrete

This paper discusses the suitability of producing concrete with 100 % recycled aggregate to meet durability and strength requirements for different applications. Aggregate strength, gradation, absorption, specific gravity, shape and texture are some of the physical and mechanical characteristics that contribute to the strength and durability …

Mixture Optimization of Recycled Aggregate Concrete Using Hybrid …

Recycled aggregate concrete (RAC) contributes to mitigating the depletion of natural aggregates, alleviating the carbon footprint of concrete construction, and averting the landfilling of colossal amounts of construction and demolition waste. However, complexities in the mixture optimization of RAC due to the variability of recycled …

Compressive strength of concrete with recycled aggregate; a …

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 …

Prediction of ultimate condition of FRP-confined recycled aggregate

Recycling concrete demolition waste is a growing practice in civil engineering and construction to help address the problems of climate change and environmental degradation [1].This adoption is also driven by other factors such as the drastic decline in natural aggregate reserves and landfill capacity [2].However, despite …

Prediction of creep of recycled aggregate concrete using …

Abstract The promotion of recycled aggregate concrete (RAC) can effectively reduce carbon emissions from the construction industry and increase the recycling rate of waste concrete. ... Furthermore, back-propagation neural network (BPNN) and support vector machine (SVM) models are adopted to process and predict …

Recycling Concrete Pavements and Utilizing Recycled …

2. Cackler, T. 2018. Technology Transfer of Concrete Pavement Technologies: Recycled Concrete Aggregate Usage in the US. National Concrete Pavement Technology …

Evaluating compressive strength of concrete made with recycled concrete …

This study estimated the compressive strength of recycled concrete using six machine learning approaches, including GB, XGB, SVR, GB_PSO, XGB_PSO, and SVR_PSO. The input parameters used for modeling are cement content, water content, aggregate content, natural aggregate content, recycle concrete aggregate content, …

Mixture Optimization of Recycled Aggregate Concrete Using Hybrid

Recycled aggregate concrete (RAC) contributes to mitigating the depletion of natural aggregates, alleviating the carbon footprint of concrete construction, and averting the landfilling of colossal amounts of construction and demolition waste. ... Mixture Optimization of Recycled Aggregate Concrete Using Hybrid Machine Learning …

Prediction of the sulfate resistance for recycled aggregate concrete

Recycled aggregate concrete (RAC) has been acknowledged as an effective way to achieve green building and meet the sustainable development goal. ... Observational Analysis of Fire-Induced Spalling of Concrete through Ensemble Machine Learning and Surrogate Modeling. J. Mater. Civ. Eng., 33 (1) (2021), p. 04020428, …

Evaluating compressive strength of concrete made with recycled concrete …

Many previous studies have successfully used recycled concrete aggregate (RCA) in the production of concrete and mortar [3], ... This study estimated the compressive strength of recycled concrete using six machine learning approaches, including GB, XGB, SVR, GB_PSO, XGB_PSO, and SVR_PSO. The input parameters …

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 …

Prediction of mechanical properties of recycled aggregate …

This paper investigates the mechanical properties of concrete containing recycled aggregates and fly ash as a sustainable and eco-friendly solution for construction, which can reduce the demand for natural aggregates and cement, conserves natural resources, and curtails greenhouse gas emissions.Machine learning methodology can …

Predicting corrosion of recycled aggregate concrete under …

With the increasing demand for concrete, cement production is predicted to be more than 4.83 billion tonnes in 2030 [1], [2].This urge will lead to a considerable increase in natural resource consumption, such as natural aggregates, which comprise approximately 70 % of the total volume of concrete [3].Accordingly, the natural …

Machine Learning Prediction Models to Evaluate the Strength of Recycled

Compressive and flexural strength are the crucial properties of a material. The strength of recycled aggregate concrete (RAC) is comparatively lower than that of natural aggregate concrete. Several factors, including the recycled aggregate replacement ratio, parent concrete strength, water–cement ratio, water absorption, …

Sustainable mix design of recycled aggregate concrete …

In recycled aggregate concrete (RAC), RA serves as a partial or whole replacement for natural aggregates yielding multiple benefits, such as diminished demand for natural ... Modeling the mechanical properties of recycled aggregate concrete using hybrid machine learning algorithms. Resour. Conserv. Recycl., 190 (2023), …

Physics-assisted machine learning methods for predicting …

Recycled aggregate concrete (RAC) has become a popular building material due to its eco-friendly features, but the difficulty in predicting the crack resistance of RAC is increasingly impeding its ...