Prediction of compressive strength of cementitious grouts for semi-flexible pavement application using machine learning approach

This study involves the preparation of cement grout samples by varying proportions of superplasticizer (SP) and water-cement (w/c) ratio (0.25–0.45) which were tested for computing flow value and 1-day, 7-day, and 28-day compressive strength. With 75 data points a neural network model was developed...

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Detalhes bibliográficos

Principais autores:	Muhammad Imran Khan, Nasir Khan, Syed Roshan Zamir Hashmi, Muhamad Razuhanafi Mat Yazid, Nur Izzi Md Yusoff, Rai Waqas Azfar, Mujahid Ali, Roman Fediuk
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-12-01
coleção:	Case Studies in Construction Materials
Assuntos:	Compressive strength Flow value Cement grouts Semi-flexible pavement Machine learning Artificial neural network
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2214509523005508
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