2023
DOI: 10.1016/j.conbuildmat.2023.134092
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Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete

Baoping Zou,
Yanbing Wang,
Muhammad Nasir Amin
et al.
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Cited by 14 publications
(1 citation statement)
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“…Serviceability criteria such as excessive crack width and deflection impair the appearance of the structure, weakening the member due to corrosion of steel and damaging non-structural members become more critical than the strength consideration 16 . Due to the technological development, recent studies focusing on the utilization of modern techniques such as artificial intelligence and modern techniques in concrete industry for the prediction of strength parameters by utilizing several wastes and additives 2 , 17 19 . A repair good improves the function and performance of structures, restores and increases their strength, provides water tightness, and prevents aggressive environment to steel surface durability 20 .…”
Section: Introductionmentioning
confidence: 99%
“…Serviceability criteria such as excessive crack width and deflection impair the appearance of the structure, weakening the member due to corrosion of steel and damaging non-structural members become more critical than the strength consideration 16 . Due to the technological development, recent studies focusing on the utilization of modern techniques such as artificial intelligence and modern techniques in concrete industry for the prediction of strength parameters by utilizing several wastes and additives 2 , 17 19 . A repair good improves the function and performance of structures, restores and increases their strength, provides water tightness, and prevents aggressive environment to steel surface durability 20 .…”
Section: Introductionmentioning
confidence: 99%