Prediction of compressive strength of two-stage (preplaced aggregate) concrete using gene expression programming and random forest

The aim of this research is to predict preplaced-aggregate concrete (PAC) compressive strength (CS) by using machine learning approaches such as gene expression programming (GEP) and random forest (RF). PAC requires injecting a portland cement-sand grout with admixtures into a mold after coarse aggr...

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Bibliografski detalji

Glavni autori:	Hisham Jahangir Qureshi, Mana Alyami, R. Nawaz, Ibrahim Y. Hakeem, Fahid Aslam, Bawar Iftikhar, Yaser Gamil
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2023-12-01
Serija:	Case Studies in Construction Materials
Teme:	Preplaced-aggregate concrete Two-stage concrete Compressive strength Machine learning Sustainability Environment
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2214509523007611
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