Analyse de l’évolution temporelle de la résistance mécanique d’un sol gonflant par apport de chaux - Intelligence Artificielle
Analyse de l’évolution temporelle de la résistance mécanique d’un sol gonflant par apport de chaux - Intelligence Artificielle
Bentonite-lime mixtures are essential in geotechnical engineering for soil stabilization. Predicting their compressive strength is crucial for ensuring the stability and performance of geotechnical structures. This study explores the use of polynomial regression, a machine learning technique, to predict the compressive strength of Mostaganem bentonite-Saida lime mixtures. Different polynomial degrees was evaluated, and their performance was compared using statistical metrics. The results demonstrate the effectiveness of polynomial regression, particularly higher-degree models, in accurately predicting compressive strength, offering valuable tools for geotechnical design and promoting sustainable construction
practices.
Louafi Bahia; Boumahraz Younes
18th African Regional Conference on Soil Mechanics and Geotechnical Engineering (ARCSMGE2024)
Behavior of soils, analysis and modeling
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