2021
DOI: 10.1016/j.trgeo.2021.100608
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Predicting the compaction characteristics of expansive soils using two genetic programming-based algorithms

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Cited by 104 publications
(48 citation statements)
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“…The current study investigated the effect of changing dosages of NGPs on the mechanical characteristics of concrete. To avoid the laborious testing, the data used in the manuscript, alongside other similar data from experiments or the literature, can potentially be used to develop multiple artificial intelligent models, according to previous literature [ 31 , 71 , 72 , 73 , 74 , 75 , 76 , 77 ].…”
Section: Discussionmentioning
confidence: 99%
“…The current study investigated the effect of changing dosages of NGPs on the mechanical characteristics of concrete. To avoid the laborious testing, the data used in the manuscript, alongside other similar data from experiments or the literature, can potentially be used to develop multiple artificial intelligent models, according to previous literature [ 31 , 71 , 72 , 73 , 74 , 75 , 76 , 77 ].…”
Section: Discussionmentioning
confidence: 99%
“…With the advancement in artificial intelligence (AI), wide variety of civil engineering problems are solved using AI [38][39][40][41][42][43][44][45]. AI models shall be developed that can product the mechanical and durability properties of rubberized concrete.…”
Section: Discussionmentioning
confidence: 99%
“…The conventional steel and fiber-reinforced polymer (FRP) rebars in PCA-incorporated concrete are expected to perform better under an alkaline environment; however, more insights regarding the durability of FRPs in PCA-incorporated concrete shall be investigated first from the relevant literature [ 59 , 60 ]. In addition, machine learning techniques are widely used for investigating material properties [ 61 , 62 , 63 , 64 , 65 , 66 , 67 ] and general engineering problems [ 68 , 69 ]. Therefore, for the PCA-incorporated concrete, a machine learning regression model can be developed to accurately forecast the strength and durability characteristics for variable input parameters.…”
Section: Discussionmentioning
confidence: 99%