Prediction of the anti-carbonation performance of concrete based on random forest – least squares support vector machine model

Prediction of the anti-carbonation performance of concrete based on random forest – least squares support vector machine model

Concrete carbonation is a critical factor influencing the durability and longevity of concrete structures, particularly in urban environments. Traditional methods for predicting the anti-carbonation performance (ACP) of concrete often lack precision and fail to account for complex interactions betw...

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Bibliographic Details
Main Authors: Sivaraja M., Swaminathen A. N., Kuttimarks M. S., Rajprasad J., Sakthivel M., Rex J.
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2025-05-01
Series:Journal of Environmental Engineering and Landscape Management
Subjects:
carbonation resistance
least squares support vector machine (LSSVM) model
safety assessment
random forest (RF)
concrete
Online Access:https://journals.vilniustech.lt/index.php/JEELM/article/view/23568
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