2022
DOI: 10.1016/j.conbuildmat.2022.128039
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Use of data mining techniques to explain the primary factors influencing water sensitivity of asphalt mixtures

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Cited by 8 publications
(4 citation statements)
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“…Mixing bitumen or asphalt with the subgrade soil to improve its strength and reduce its susceptibility to water. This method is commonly used in road construction (Afrin, 2017;Gbenga Matthew & Shola Paul, 2018;Hasyimi & Syahril, 2021;Kuswaya et al, 2018;Rebelo et al, 2022). Bituminous soil stabilisation is usually carried out using asphalt cement, cutback asphalt, or asphalt emulsions.…”
Section: Bitumen Soil Stabilisation Methodsmentioning
confidence: 99%
“…Mixing bitumen or asphalt with the subgrade soil to improve its strength and reduce its susceptibility to water. This method is commonly used in road construction (Afrin, 2017;Gbenga Matthew & Shola Paul, 2018;Hasyimi & Syahril, 2021;Kuswaya et al, 2018;Rebelo et al, 2022). Bituminous soil stabilisation is usually carried out using asphalt cement, cutback asphalt, or asphalt emulsions.…”
Section: Bitumen Soil Stabilisation Methodsmentioning
confidence: 99%
“…Significant crack width can jeopardize the state of the steel reinforcement as it can leave it exposed and prone to corrosion, reducing its stress capacity. Therefore, the planning of reinforced concrete structures must consider maximum crack width limitations that involve not only technical aspects, but also aesthetics, as a large enough crack width can affect the perception of strength for users and cause large deflections [13].…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Much more commonly, data mining techniques are so far mainly used to correctly predict the mechanical or physical properties of road materials. In the work of Rebelo et al [17], a number of DM techniques were used to effectively predict the water resistance of mineral-asphalt mixtures. Gong et al used DM to improve the rutting resistance of pavements [18].…”
Section: Introductionmentioning
confidence: 99%