Cherry Marble Powder's Effect on Clay Soil Stability in Freezing Regions Based on Experimental and Advanced Artificial Neural Networks Investigation

dc.contributor.authorUmar, Ibrahim Haruna
dc.contributor.authorFirat, Muge Elif
dc.contributor.authorAtila, Orhan
dc.contributor.authorLin, Hang
dc.date.accessioned2026-09-08T07:13:49Z
dc.date.issued2026
dc.departmentFırat Üniveristesi
dc.description.abstractFreeze-thaw cycles severely degrade clay soils in cold regions, threatening infrastructure stability. This study utilizes cherry marble powder (CMP), an eco-friendly industrial by-product, to enhance soil resilience. Experimental results show CMP increases unconfined compressive strength by up to 97.75% and reduces mass loss by 20-35% after 15 freeze-thaw cycles, with optimal performance at 21.5% moisture and 40% CMP. Remarkably, energy absorption improves by 25%, indicating enhanced toughness. To minimize experimental burden, a Bayesian regularization-based ANN model with a single hidden layer containing 14 neurons is developed, achieving exceptional prediction accuracy (R2 = 0.9959). This work pioneers the integration of sustainable waste valorization and advanced machine learning for soil stabilization, offering a dual innovation in environmental sustainability and smart geotechnical design. The findings provide a practical, data-driven framework for resilient infrastructure in freezing climates, reducing reliance on traditional, resource-intensive methods.
dc.description.sponsorshipHunan Provincial Key Research and Development Program [2022SK2082] -- Firat University (in Turkiye) Science Research Projects (FUBAP) [TEKF.22.03, TEKF.25.52] -- The authors are very thankful for the financial support of the Hunan Provincial Key Research and Development Program (2022SK2082) and Firat University (in Turkiye) Science Research Projects (FUBAP) (Project no. TEKF.22.03 and TEKF.25.52).
dc.identifier.doi10.1007/s11665-026-14077-6
dc.identifier.issn1059-9495
dc.identifier.issn1544-1024
dc.identifier.orcid0000-0001-7211-913X
dc.identifier.scopus2-s2.0-105038175019
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1007/s11665-026-14077-6
dc.identifier.urihttps://hdl.handle.net/11508/65603
dc.identifier.wosWOS:001757751600001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Materials Engineering and Performance
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250903
dc.subjectArtificial Neural Network
dc.subjectBayesian Regularization
dc.subjectCherry Marble Powder
dc.subjectClay Soil Stabilization
dc.subjectEnergy Absorption Capacity
dc.subjectFreeze-Thaw Tests
dc.subjectUnconfined Compression Tests
dc.titleCherry Marble Powder's Effect on Clay Soil Stability in Freezing Regions Based on Experimental and Advanced Artificial Neural Networks Investigation
dc.typeArticle

Dosyalar