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A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile

In recent years, research interest has been revolutionized to predict the rigid projectile penetration depth in concrete. The concrete penetration predictions persist, unsettled, due to the complexity of phenomena and the continuous development of revolutionized statistical techniques, such as machi...

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Principais autores: Qadir Bux alias Imran Latif, Zubair Ahmed Memon, Zafar Mahmood, Mohsin Usman Qureshi, Abdalrhman Milad
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2022-02-01
Series:Applied Sciences
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Acceso en liña:https://www.mdpi.com/2076-3417/12/4/2040
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