Valorization of recycled aggregates to eco-efficient lightweight self-compacting mortars: Studies on microstructure, mechanical, durability, environmental, and economic properties

Acikgenc Ulas, Merve; Culcu, Müzeyyen Büsra; Ulucan, Muhammed

doi:10.1016/j.conbuildmat.2024.135436

Construction and Building Materials

2024

DOI: 10.1016/j.conbuildmat.2024.135436

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Valorization of recycled aggregates to eco-efficient lightweight self-compacting mortars: Studies on microstructure, mechanical, durability, environmental, and economic properties

Merve Acikgenc Ulas,

Müzeyyen Büsra Culcu,

Muhammed Ulucan

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2024

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Cited by 4 publications

References 76 publications

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Optimizing sustainable concrete compressive strength prediction: A new particle swarm optimization‐based metaheuristic approach to neural network modeling for circular economy and disaster resilience

Ulucan,

Gunduzalp,

Yildirim

et al. 2024

Structural Concrete

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This study aims to predict the final‐age compressive strengths of sustainable concrete series produced using different aggregate types with high accuracy using an artificial intelligence model and to reduce environmental degradation and conserve rapidly decreasing natural resources within the scope of sustainable development and circular economy goals. For this purpose, 45 different sustainable concrete series containing all‐natural, recycled, natural, and recycled concrete aggregates were produced and subjected to compressive strength tests at 7 and 28 days. In addition, this study also considers whether deep neural network models, which have gained popularity in recent years but have high time and resource costs, or shallow models are more suitable for determining the compressive strength values with high accuracy. For this purpose, a method is proposed that can automatically generate the optimal neural network model using a metaheuristic approach that eliminates the human factor. For this purpose, the proposed method was extensively compared with different classical machine learning algorithms. The proposed method predicted the 7 and 28‐day compressive strength with a coefficient of determination of 0.999 and presented better compressive strength predictions than all other algorithms. Considering the number of buildings to be constructed after earthquakes, the widespread use of concrete, and the importance of compressive strength, the proposed method will likely provide significant gains within sustainable development, circular economy, and disaster risk reduction.

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Optimizing sustainable concrete compressive strength prediction: A new particle swarm optimization‐based metaheuristic approach to neural network modeling for circular economy and disaster resilience

Ulucan,

Gunduzalp,

Yildirim

et al. 2024

Structural Concrete

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LCA applied to comparative environmental evaluation of aggregate production from recycled waste materials and virgin sources

Linares,

López-Uceda,

Piccinali

et al. 2024

Environ Sci Pollut Res

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Nowadays, all productive sectors, including the construction industry, are facing the challenge of reducing their environmental impact. To achieve this objective, numerous actions are being carried out to access greater levels of environmental and economic sustainability. Techniques as Life Cycle Assessment contribute to quantifying environmental impacts, promoting a circular economy in a sector that consumes a high volume of resources, materials, and energy while generating large amounts of gaseous, liquid, or solid emissions. The present study aims to deepen our understanding of aspects that demonstrate the benefits of using RA instead of natural aggregates. This study not only quantifies the environmental impact but also explores the effects of potential improvements in the productive system and their impact on reducing environmental harm. The Life Cycle Assessment methodology is applied to quantify and compare the environmental impacts generated in the production of a ton of mixed recycled aggregates (MRA) from construction and demolition wastes, based on the data provided by plant managers. This is compared to the environmental impacts generated in the production of one ton of natural aggregates extracted from a quarry. The results revealed that the production of mixed recycled aggregate is more environmentally beneficial, confirming a reduction of 70.66% in environmental impacts during the production of recycled aggregates, in comparison to the natural aggregates extraction. Furthermore, the economic analysis demonstrates the economic advantage since the cost of producing recycled aggregates is over 30% cheaper than natural aggregates, being more competitive even when the transportation distances from the plant to the work sites exceed those of natural aggregates. Graphical Abstract

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Investigating the influence of fly ash and rice husk ash on the strength and durability properties of self compacting recycled aggregate concrete

Raju,

Paluri,

Sudheer

et al. 2024

J. Phys.: Conf. Ser.

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Self-compacting concrete (SCC) is a type of concrete that has become increasingly popular in recent years because of its exceptional fluidity and cohesive properties. The incorporation of supplemental cementitious materials (SCM) is essential to attain the desired consolidation qualities and meet the durability criteria in this material. Utilizing waste or industrial by-products as a source of SCM might enhance the qualities of self-compacting concrete (SCC) and minimize the environmental consequences linked to the manufacturing of Portland Cement (PC). Because of the high environmental costs and limited availability of natural materials, recycled aggregates are being more and more advocated as an alternative for use in concrete. In light of these facts, the paper addressed the effects of SCMs (fly ash and rice husk ash) and recycled aggregates on the fresh, mechanical (compressive strength, and flexural strength) and durability (sorptivity and water absorption) properties of SCC. The workability of SCC decreases with recycled aggregates and cement replacements, while it increases with flyash and decreases with RHA. The fresh properties of all mixes met EFNARC criteria. Substituting RA for NA resulted in a decline in strength, while RA100’s strength properties were enhanced by supplementary cementitious materials. The combination of FA and RHA improved RAC’s strength and durability. This suggests that self compacting recycled aggregate concrete incorporating SCMs can be a sustainable alternative.

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Valorization of recycled aggregates to eco-efficient lightweight self-compacting mortars: Studies on microstructure, mechanical, durability, environmental, and economic properties

Cited by 4 publications

References 76 publications

Optimizing sustainable concrete compressive strength prediction: A new particle swarm optimization‐based metaheuristic approach to neural network modeling for circular economy and disaster resilience

Optimizing sustainable concrete compressive strength prediction: A new particle swarm optimization‐based metaheuristic approach to neural network modeling for circular economy and disaster resilience

LCA applied to comparative environmental evaluation of aggregate production from recycled waste materials and virgin sources

Investigating the influence of fly ash and rice husk ash on the strength and durability properties of self compacting recycled aggregate concrete

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