A cost-effective recycled aggregates classification procedure for construction and demolition waste evaluation

Ferriz-Papi, Juan A.; Weekes, Edward; Whitehead, Nik; Lee, Angela

doi:10.1016/j.conbuildmat.2022.126642

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…With the acceleration of global urban renewal, nearly 10 billion tons of building rubbish will be produced every year in the world due to the demolition and renovation of old buildings [1]. After classifying, screening, crushing and grinding construction waste, it can be prepared into RCA (with a diameter of 2-3 mm) and used to partially replace natural fine aggregate to prepare RCA Concrete [2,3]. However, during the preparation of RCA, there will be several micro-cracks and initial defects, which will increase the porosity and crushing index of RCA [4,5], thus causing the basic dynamical performances of RCA concrete to generally decline with the comparison of natural coarse aggregate concrete [6,7].…”

Section: Introductionmentioning

confidence: 99%

Tensile Mechanical and Stress-Strain Behavior of Recycling Polypropylene Fiber Recycled Coarse Aggregate Concrete

Wang,

Liang,

et al. 2024

Buildings

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To effectively recycle waste petroleum products and construction waste, recycling polypropylene fiber (RPF) and recycled aggregate can be mixed into concrete to make RPF recycled coarse aggregate (RCA) concrete. In this study, the RPF recycled from a polypropylene (PP) packaging belt was used as the test material and manually cut into the shape required for the experiment. The effects of RCA and RPF on the tensile mechanical behavior of concrete are researched. The failure modes and constitutive relationship of the specimens under axial tension and splitting tension are further investigated. The results show that the axial tensile strength of RPF RCA concrete first increased and then decreased with the increase in fiber volume content, and was the largest when the fiber volume content was 1.5%, and its strength increased by 21.14% compared with that of recycled concrete. Its lifting rate relative to recycled concrete is between 13.14–21.41%. The change trend of axial tensile strength with the substitution rate of RCA is that it decreases with the increase in substitution rate, and the substitution rate decreases by 9.64% when the substitution rate is 100% compared with 0%.The peak strain first increased and then decreased with the increase in fiber volume content, and the maximum fiber volume content was 1.5%, which increased by 28.19% compared with that of recycled concrete. The peak strain first increased and then decreased with the increase in fiber length-diameter ratio, and the maximum length-diameter ratio was 47.85, which increased by 18.22% compared with that of recycled concrete. The peak strain increased with the increase in the replacement rate of RCA, and the peak strain at 30%, 60% and 100% was 96.22%, 102.45% and 118.09% when the replacement rate was 0%, respectively.

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Section: Introductionmentioning

confidence: 99%

Tensile Mechanical and Stress-Strain Behavior of Recycling Polypropylene Fiber Recycled Coarse Aggregate Concrete

Wang,

Liang,

et al. 2024

Buildings

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“…At the beginning of these studies are the researches on concrete. 8,9 Since concrete is the most widely used building material worldwide, it is a great alternative to disposing and reusing these wastes. 10,11 Concrete basically consists of cement, water, and aggregate.…”

Section: Introductionmentioning

confidence: 99%

“…For this reason, there are various studies to reuse, recycle and reduce the resulting waste. At the beginning of these studies are the researches on concrete 8,9 . Since concrete is the most widely used building material worldwide, it is a great alternative to disposing and reusing these wastes 10,11 …”

Section: Introductionmentioning

confidence: 99%

A new intelligent sunflower optimization based explainable artificial intelligence approach for early‐age concrete compressive strength classification and mixture design of RAC

Ulucan

Yıldırım

Alataş

et al. 2023

Structural Concrete

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This study aims to develop a new artificial intelligence model that can produce explainable rules to predict the mix design and early‐age concrete compressive strength classes of recycled aggregate concrete (RAC). Unlike other black‐box machine learning methods and rule‐based algorithms, the study relies on a metaheuristic mechanism for explainability. This metaheuristic mechanism is not used for a traditional parameter optimization, but to automatically extract interpretable and interpretable rules from the experimental data. In the study, 30 series of RACs are produced, and the samples’ 1‐ and 3‐day early‐age concrete compressive strength values are determined. Concretes produced using these strength values are classified. The labels defined for each concrete class are Class A (C 8/10), Class B (C 12/15), Class C (C 16/20), and Class D (C 20/25). The proposed intelligent classification model that consists of rule set automatically produces interpretable and comprehensible rules from data to determine the early‐age concrete compressive strength class and RAC mix amounts. In addition, the proposed method eliminates the black‐box disadvantages of classical machine learning methods with its explainability and interpretability feature. The sunflower optimization algorithm is adapted as the metaheuristic mechanism and a special fitness function and representative solution form are developed for automatic extraction of high‐quality comprehensible rules by simultaneously optimizing many different metrics. This paper is the first interpretable and comprehensible artificial intelligence model attempt used for early‐age compressive strength classification and mixture design of recycled aggregate concrete by balancing and optimizing both the accuracy and explainability. Proposed explainable intelligent classification model is tested against both well‐known state‐of‐the‐art machine learning algorithms and standard rule‐based methods on the produced real data. Promising results in terms of accuracy, precision, recall are obtained along with the explainability feature.

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“…Because of this, many industry sectors are valuing the search for eco-friendly solutions to dispose of their waste. In the construction industry, for example, many researchers are concerned about how to reuse demolition waste as inert materials in the mixture of mortar and concrete [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

On the mechanical behavior of a hybrid reinforced concrete for industrial floors

Lima

Souza

et al. 2023

Rev. IBRACON Estrut. Mater.

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Civil construction is an industry sector that has been used as an outlet for the reuse of industrial waste. The present work aims to use the residue of Ethylene Vinyl Acetate (EVA) from the footwear industry as a partial substitute for a granulometric range of aggregates, aiming at the production of structural concrete and application to industrial floors. The proposed mixing ratios were evaluated from uniaxial compression, three-point bending, and drying shrinkage tests. The results of the uniaxial compression tests showed that the concrete with EVA addition still has enough strength to be considered structural concrete. In addition, the EVA and polypropylene fiber particles act as stress transfer bridges in the cracked zone, resulting in an increase in residual stresses and, consequently, in the toughness of the concrete in the three-point bending test. Finally, Technical Report 34 was used as a procedure to design an industrial floor based on the compressive strength, Young's modulus, and flexural behavior of the tested composites. The final result showed that even with lower compressive strength, fiber-reinforced concrete with EVA achieves greater structural efficiency for an industrial floor with the same cross-sectional height as ordinary fiber-reinforced concrete.

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A cost-effective recycled aggregates classification procedure for construction and demolition waste evaluation

Cited by 10 publications

References 18 publications

Tensile Mechanical and Stress-Strain Behavior of Recycling Polypropylene Fiber Recycled Coarse Aggregate Concrete

Tensile Mechanical and Stress-Strain Behavior of Recycling Polypropylene Fiber Recycled Coarse Aggregate Concrete

A new intelligent sunflower optimization based explainable artificial intelligence approach for early‐age concrete compressive strength classification and mixture design of RAC

On the mechanical behavior of a hybrid reinforced concrete for industrial floors

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