A novel ensemble regressor and causal analysis for predicting the compressive strength of steel fiber-reinforced concrete

Steel fiber reinforced concrete incorporating supplementary materials offers improved toughness and durability, yet its compressive strength remains difficult to forecast because performance emerges from coupled effects of mixture composition, fiber parameters, and curing. This study compiles 446 li...

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Autori principali:	Aybike Özyüksel Çiftçioğlu, Murteda Unverdi, Naz Mardani, Ali Mardani
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2026-07-01
Serie:	Ain Shams Engineering Journal
Soggetti:	Steel fiber reinforced concrete Compressive strength prediction Ensemble learning Stacking regressor Causal inference
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2090447926002273
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