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The Effect of RHA and GBFS on the Mechanical and Physical Properties of Cementitious Composites with High Early Age Compressive and Flexural Strength: Bayesian Algorithm for the Design       
Yazarlar
Doç. Dr. Oğuzhan Yavuz BAYRAKTAR
Kastamonu Üniversitesi, Türkiye
Fadel Mohamed Ali Fello
Özet
In recent years, cementitious composites with a compressive strength of more than 100 MPa have become popular for tall earthquake-resistant buildings. However, in these composites, attention is paid to sustainability criteria along with strength. In this study, physical, mechanical, and microstructural properties of cementitious composites with high early-age strength were investigated by using industrial wastes such as RHA (rice husk ash) and GBFS (ground blast furnace slag). In cementitious composites, the cement dosage was chosen as 1000 kg and the w/c (water/cement) or w/b (water/binder) ratio was 0.22. RHA was used instead of cement at the rate of 5 and 10%, and GBFS at the rate of 5, 10, and 15%. Cementitious composites were subjected to three different cures: normal water (WC), hot water (HWC), and steam (SC). As the RHA content increased, the flow diameter of the mixtures decreased. GBFS relatively improved the workability of cementitious composites. While the porosity of WC applied mixtures varies between 2.7 and 4.3%, the porosity of HWC or SC applied mixtures decreases up to 1.3%. The water absorption of all cementitious composites is less than 2%. The 3-day compressive strengths of the mixtures are between 53.4 and 90.6 MPa, and the 90-day compressive strengths are between 100.2 and 123.3 MPa. In addition, the 3-day flexural strength of the mixtures exceeds 7 MPa. On the 90th day, cementitious composites with a flexural strength of approximately 18 MPa were produced. As the RHA content increased, it decreased the 3-day flexural and compressive strengths but improved the mechanical properties on the 90th day. Dense needle-like CSH gels were observed in SEM examinations. With the developed ANN model, it has been determined that the material quantities (RHA and GBFS content) and curing conditions will be predicted with high accuracy for optimum compressive strength. As a result, it has been determined that a compressive strength higher than 120 MPa and a flexural strength higher than 15 MPa will be obtained by saving 25% cement.
Anahtar Kelimeler
Bayesian algorithm,Ground blast furnace slag,Recycling,Rice husk ash,Sustainability
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı Iranian Journal of Science and Technology - Transactions of Civil Engineering
Dergi ISSN 2228-6160
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q3
Makale Dili İngilizce
Basım Tarihi 02-2024
Cilt No 48
Sayfalar 97 / 115
Doi Numarası 10.1007/s40996-023-01168-w
Makale Linki http://dx.doi.org/10.1007/s40996-023-01168-w