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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Autori principali:	Hisham Jahangir Qureshi, Mana Alyami, R. Nawaz, Ibrahim Y. Hakeem, Fahid Aslam, Bawar Iftikhar, Yaser Gamil
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2023-12-01
Serie:	Case Studies in Construction Materials
Soggetti:	Preplaced-aggregate concrete Two-stage concrete Compressive strength Machine learning Sustainability Environment
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2214509523007611
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