Sustainable alternate binding material for concrete using waste materials: A testing and computational study for the strength evaluation

Khan, Suleman Ayub; Khan, Mohammad Adeel; Amin, Muhammad Nasir; Ali, Mujahid; Althoey, Fadi; Alsharari, Fahad

doi:10.1016/j.jobe.2023.107932

Cited by 5 publications

(1 citation statement)

References 37 publications

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“…According to Alexander and Sakthivel 4 , 5 , to reduce the use of natural resource consumption and achieve sustainability in buildings, we should utilize abundantly available waste material as a natural resource replacement. It is vitally necessary to use creative, green, lightweight, and affordable materials, particularly those that can serve the intended purposes, of preserving the world's natural environment and guaranteeing the sustainability of natural resources 6 – 9 .…”

Section: Introductionmentioning

confidence: 99%

Comparative study of eco-friendly wire mesh configurations to enhance sustainability in reinforced concrete structures

Mebrahtom,

Fissha,

Ali

et al. 2024

Sci Rep

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Recent and past studies mainly focus on reducing the dead weight of structure; therefore, they considered lightweight aggregate concrete (LWAC) which reduces the dead weight but also affects the strength parameters. Therefore, the current study aims to use varied steel wire meshes to investigate the effects of LWAC on mechanical properties. Three types of steel wire mesh are used such as hexagonal (chicken), welded square, and expanded metal mesh, in various layers and orientations in LWAC. Numerous mechanical characteristics were examined, including energy absorption (EA), compressive strength (CS), and flexural strength (FS). A total of ninety prisms and thirty-three cubes were made. For the FS test, forty-five 100 × 100 × 500 mm prism samples were poured, thirty-three 150 × 150 × 150 mm cube samples were made, and forty-five 400 × 300 × 75 mm EA specimens were costed for fourteen days of curing. The experimental findings demonstrate that the FS was enhanced by adding additional forces that spread the forces over the section. One layer of chicken, welded, and expanded metal mesh enhances the FS by 52.96%, 23.76%, and 22.2%, respectively. In comparison to the remaining layers, the FS in a single-layer hexagonal wire mesh has the maximum strength, 29.49 MPa. The hexagonal wire mesh with a single layer had the greatest CS, measuring 36.56 MPa. When all three types of meshes are combined, the CS does not vary in this way and is estimated to be 29.79 MPa. In the combination of three layers, the chicken and expanded wire mesh had the most energy recorded prior to final failure, which was 1425.6 and 1108.7 J, whereas it was found the highest 752.3 J for welded square wire mesh. The energy absorption for the first layer with hexagonal wire mesh increased by 82.81% prior to the crack and by 88.34% prior to the ultimate failure. Overall, it was determined and suggested that hexagonal wire mesh works better than expanded and welded wire meshes.

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Section: Introductionmentioning

confidence: 99%

Comparative study of eco-friendly wire mesh configurations to enhance sustainability in reinforced concrete structures

Mebrahtom,

Fissha,

Ali

et al. 2024

Sci Rep

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Statistical analysis for evaluating concrete strength of existing structure using non-destructive and destructive test

Kumavat,

Chandak

2024

Innov. Infrastruct. Solut.

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Supplementary cementitious materials-based concrete porosity estimation using modeling approaches: A comparative study of GEP and MEP

Tian,

Lu,

Zhou

et al. 2024

Reviews on Advanced Materials Science

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Using supplementary cementitious materials in concrete production makes it eco-friendly by decreasing cement usage and the corresponding CO2 emissions. One key measure of concrete’s durability performance is its porosity. An empirical prediction of the porosity of high-performance concrete with added cementitious elements is the goal of this work, which employs machine learning approaches. Binder, water/cement ratio, slag, aggregate content, superplasticizer (SP), fly ash, and curing conditions were considered as inputs in the database. The aim of this study is to create ML models that could evaluate concrete porosity. Gene expression programming (GEP) and multi-expression programming (MEP) were used to develop these models. Statistical tests, Taylor’s diagram, R 2 values, and the difference between experimental and predicted readings were the metrics used to evaluate the models. With R 2 = 0.971, mean absolute error (MAE) = 0.348%, root mean square error (RMSE) = 0.460%, and Nash–Sutcliffe efficiency (NSE) = 0.971, the MEP provided a slightly better-fitted model and improved prediction performance when contrasted with the GEP, which had R 2 = 0.925, MAE = 0.591%, RMSE = 0.745%, and NSE = 0.923. Binder, water/binder ratio, curing conditions, and aggregate content had a direct (positive) relationship with the porosity of concrete, while SP, fly ash, and slag had an indirect (negative) association, according to the SHapley Additive exPlanations study.

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Sustainable alternate binding material for concrete using waste materials: A testing and computational study for the strength evaluation

Cited by 5 publications

References 37 publications

Comparative study of eco-friendly wire mesh configurations to enhance sustainability in reinforced concrete structures

Comparative study of eco-friendly wire mesh configurations to enhance sustainability in reinforced concrete structures

Statistical analysis for evaluating concrete strength of existing structure using non-destructive and destructive test

Supplementary cementitious materials-based concrete porosity estimation using modeling approaches: A comparative study of GEP and MEP

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