2021
DOI: 10.1007/s12517-021-08674-z
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Machine learning techniques for recycled aggregate concrete strength prediction and its characteristics between the hardened features of concrete

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Cited by 13 publications
(1 citation statement)
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“…The selection of aggregate is significant, and their quality assumes an incredible job; they can restrict the strength of concrete well as attributable to their attributes, they influence the toughness and execution of cement [6]. The overall utilization of sand as fine aggregates (FA) in concrete production is high, and a few non-industrial nations have experienced some strain in the flexibility of normal sand to meet the expanding needs of infrastructural advancement as of late [7]. Thus, there is an enormous interest in elective materials for fine aggregates in the development business.…”
Section: Introductionmentioning
confidence: 99%
“…The selection of aggregate is significant, and their quality assumes an incredible job; they can restrict the strength of concrete well as attributable to their attributes, they influence the toughness and execution of cement [6]. The overall utilization of sand as fine aggregates (FA) in concrete production is high, and a few non-industrial nations have experienced some strain in the flexibility of normal sand to meet the expanding needs of infrastructural advancement as of late [7]. Thus, there is an enormous interest in elective materials for fine aggregates in the development business.…”
Section: Introductionmentioning
confidence: 99%