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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Xehetasun bibliografikoak

Egile Nagusiak:	Sivaraja M., Swaminathen A. N., Kuttimarks M. S., Rajprasad J., Sakthivel M., Rex J.
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Vilnius Gediminas Technical University 2025-05-01
Saila:	Journal of Environmental Engineering and Landscape Management
Gaiak:	carbonation resistance least squares support vector machine (LSSVM) model safety assessment random forest (RF) concrete
Sarrera elektronikoa:	https://journals.vilniustech.lt/index.php/JEELM/article/view/23568
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