Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method
In this study, the silica fume replacement rate, fly ash replacement rate, and curing temperature were regarded as the independent variables, and the compressive and flexural strengths were regarded as the response values. The response surface method was used to construct the response surface polyno...
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MDPI AG
2022-04-01
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| Series: | Materials |
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| Online Access: | https://www.mdpi.com/1996-1944/15/9/3114 |
| _version_ | 1797504053003943936 |
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| author | Xuanshuo Zhang Hongbo Li Sheng Li Yongfa Ding Hubiao Zhang Yufei Tong Shudong Hua |
| author_facet | Xuanshuo Zhang Hongbo Li Sheng Li Yongfa Ding Hubiao Zhang Yufei Tong Shudong Hua |
| author_sort | Xuanshuo Zhang |
| collection | DOAJ |
| description | In this study, the silica fume replacement rate, fly ash replacement rate, and curing temperature were regarded as the independent variables, and the compressive and flexural strengths were regarded as the response values. The response surface method was used to construct the response surface polynomial regression model and obtain the optimal preparation parameters of a steel slag cement-based gel slurry (SCGS). The univariate and multivariate effects on the SCGS’s strength were investigated via analysis of variance and a three-dimensional surface model, and the hydration products and strength development law were characterized via scanning electron microscopy and X-ray diffraction. The actual compressive strengths at 3 and 28 d of age were 31.78 and 53.94 MPa, respectively, which were close to the predicted values (32.59 and 55.81 MPa, respectively), demonstrating that the optimized strengths were accurate and reliable. Further, the hydration reaction rate of SiO<sub>2</sub> in the silica fume and the physical filling effect of the inert components of fly ash and steel slag under the optimal parameters were the key factors for the early strength of the material. Moreover, continuous C<sub>3</sub>S hydration in steel slag and the continuous excitation of the volcanic ash properties of fly ash were important factors for the later strength. |
| first_indexed | 2024-03-10T03:59:08Z |
| format | Article |
| id | doaj.art-1506a16c9be346ae89120202c16803ca |
| institution | Directory Open Access Journal |
| issn | 1996-1944 |
| language | English |
| last_indexed | 2024-03-10T03:59:08Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Materials |
| spelling | doaj.art-1506a16c9be346ae89120202c16803ca2023-11-23T08:38:23ZengMDPI AGMaterials1996-19442022-04-01159311410.3390/ma15093114Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface MethodXuanshuo Zhang0Hongbo Li1Sheng Li2Yongfa Ding3Hubiao Zhang4Yufei Tong5Shudong Hua6College of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, ChinaCollege of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, ChinaCollege of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, ChinaCollege of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, ChinaCollege of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, ChinaCollege of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, ChinaNingxia Huasheng Energy Saving and Environmental Protection Technology Co., Ltd., Yinchuan 750021, ChinaIn this study, the silica fume replacement rate, fly ash replacement rate, and curing temperature were regarded as the independent variables, and the compressive and flexural strengths were regarded as the response values. The response surface method was used to construct the response surface polynomial regression model and obtain the optimal preparation parameters of a steel slag cement-based gel slurry (SCGS). The univariate and multivariate effects on the SCGS’s strength were investigated via analysis of variance and a three-dimensional surface model, and the hydration products and strength development law were characterized via scanning electron microscopy and X-ray diffraction. The actual compressive strengths at 3 and 28 d of age were 31.78 and 53.94 MPa, respectively, which were close to the predicted values (32.59 and 55.81 MPa, respectively), demonstrating that the optimized strengths were accurate and reliable. Further, the hydration reaction rate of SiO<sub>2</sub> in the silica fume and the physical filling effect of the inert components of fly ash and steel slag under the optimal parameters were the key factors for the early strength of the material. Moreover, continuous C<sub>3</sub>S hydration in steel slag and the continuous excitation of the volcanic ash properties of fly ash were important factors for the later strength.https://www.mdpi.com/1996-1944/15/9/3114steel slag cement-based materialresponse surface methodoptimal preparation parametersinteractioninterface bonding strength |
| spellingShingle | Xuanshuo Zhang Hongbo Li Sheng Li Yongfa Ding Hubiao Zhang Yufei Tong Shudong Hua Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method Materials steel slag cement-based material response surface method optimal preparation parameters interaction interface bonding strength |
| title | Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method |
| title_full | Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method |
| title_fullStr | Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method |
| title_full_unstemmed | Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method |
| title_short | Test and Microstructural Analysis of a Steel Slag Cement-Based Material Using the Response Surface Method |
| title_sort | test and microstructural analysis of a steel slag cement based material using the response surface method |
| topic | steel slag cement-based material response surface method optimal preparation parameters interaction interface bonding strength |
| url | https://www.mdpi.com/1996-1944/15/9/3114 |
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