Mechanical properties, durability characteristics and shrinkage of plain cement and fly ash concretes subjected to accelerated carbonation curing

Assaggaf, Rida Alwi; Adekunle, Saheed Kolawole; Ahmad, Shamsad; Maslehuddin, Mohammed; Al‐Amoudi, Omar S. Baghabra; Ali, Syed Imran

doi:10.17159/2309-8775/2019/v61n4a7

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…The first step in machine learning-based modeling is to finalize the input parameters which can impact ST significantly. Based on the research recommendations, ST of CFS is considered as the function of the following variables in Equation (1). It is important to understand the selection of FS/C as the input parameter.…”

Section: Modeling and Assessment Criteriamentioning

confidence: 99%

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Evolutionary Algorithm-Based Modeling of Split Tensile Strength of Foundry Sand-Based Concrete

et al. 2022

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Foundry sand (FS) is produced as a waste material by metal casting foundries. It is being utilized as an alternative to fine aggregates for developing sustainable concrete. In this paper, an artificial intelligence technique, i.e., gene expression programming (GEP) has been implemented to empirically formulate prediction models for split tensile strength (ST) of concrete containing FS. For this purpose, an extensive experimental database has been collated from the literature and split up into training, validation, and testing sets for modeling purposes. ST is modeled as a function of water-to-cement ratio, percentage of FS, and FS-to-cement content ratio. The reliability of the proposed expression is validated by conducting several statistical and parametric analyses. The modeling results depicted that the prediction model is robust and accurate with a high generalization capability. The availability of reliable formulation to predict strength properties can promote the utilization of foundry industry waste in the construction sector, promoting green construction and saving time and cost incurred during experimental testing.

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Section: Modeling and Assessment Criteriamentioning

confidence: 99%

“…It is pertinent to mention that the use of alternative green materials as a replacement for natural fine aggregate will lower the overall cost of production of concrete. Moreover, the benefits in terms of reduced need for landfill sites for the disposal of wastes will be immense [1,2].…”

Section: Introductionmentioning

confidence: 99%