Cherry Marble Powder's Effect on Clay Soil Stability in Freezing Regions Based on Experimental and Advanced Artificial Neural Networks Investigation
| dc.contributor.author | Umar, Ibrahim Haruna | |
| dc.contributor.author | Firat, Muge Elif | |
| dc.contributor.author | Atila, Orhan | |
| dc.contributor.author | Lin, Hang | |
| dc.date.accessioned | 2026-09-08T07:13:49Z | |
| dc.date.issued | 2026 | |
| dc.department | Fırat Üniveristesi | |
| dc.description.abstract | Freeze-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.sponsorship | Hunan 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.doi | 10.1007/s11665-026-14077-6 | |
| dc.identifier.issn | 1059-9495 | |
| dc.identifier.issn | 1544-1024 | |
| dc.identifier.orcid | 0000-0001-7211-913X | |
| dc.identifier.scopus | 2-s2.0-105038175019 | |
| dc.identifier.scopusquality | Q2 | |
| dc.identifier.uri | https://doi.org/10.1007/s11665-026-14077-6 | |
| dc.identifier.uri | https://hdl.handle.net/11508/65603 | |
| dc.identifier.wos | WOS:001757751600001 | |
| dc.identifier.wosquality | Q3 | |
| dc.indekslendigikaynak | Web of Science | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Journal of Materials Engineering and Performance | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_WOS_20250903 | |
| dc.subject | Artificial Neural Network | |
| dc.subject | Bayesian Regularization | |
| dc.subject | Cherry Marble Powder | |
| dc.subject | Clay Soil Stabilization | |
| dc.subject | Energy Absorption Capacity | |
| dc.subject | Freeze-Thaw Tests | |
| dc.subject | Unconfined Compression Tests | |
| dc.title | Cherry Marble Powder's Effect on Clay Soil Stability in Freezing Regions Based on Experimental and Advanced Artificial Neural Networks Investigation | |
| dc.type | Article |







