Cylindrical diffusion model and parameter optimization for NaOH solution reinforcement of collapsible loess

Zhang, Lili; Xu, Jianlin; Wu, Zhipeng; Zhao, Yong; Wang, Tiehang

doi:10.1016/j.compgeo.2023.105376

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…The extent of the influence exerted by the interaction effects on the response value is effectively illustrated by the response surface and contour plot. A steeper surface slope and denser distribution of contour lines indicate a more pronounced influence of this interaction on the response value, thereby enhancing its significance [32]. No significant interaction effect was observed among the factors based on the results of the p 1d variance analysis.…”

Section: Response Surface Equation Establishment and Variance Analysismentioning

confidence: 89%

Mechanical Performance Optimization and Microstructural Mechanism Study of Alkali-Activated Steel Slag–Slag Cementitious Materials

Wang,

Xu,

Zhang

et al. 2024

Buildings

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The optimal proportion of alkali-activated steel slag–slag cementitious materials is investigated by considering the combined effects of steel slag content, alkali content, water glass modulus, and water–binder ratio using the Box–Behnken design in response surface methodology. Qualitative and semi-quantitative analyses of X-ray diffraction (XRD) patterns and scanning electron microscopy with energy-dispersive spectroscopy (SEM-EDS) images are conducted. The microstructural mechanism is elucidated based on the chemical composition, surface morphology, and microscale pore (crack) structures of the samples. A microreaction model for the alkali-activated steel slag and slag is proposed. The optimal composition for alkali-activated steel slag–slag cementitious materials is as follows: steel slag content, 38.60%; alkali content, 6.35%; water glass modulus, 1.23; and water–binder ratio, 0.48. The strength values predicted by the response surface model are p1d = 32.66 MPa, p7d = 50.46 MPa, and p28d = 56.87 MPa. XRD analysis confirms that the compressive strength of the sample is not only influenced by the amount of gel formed, but also, to a certain extent, by the CaCO3 crystals present in the steel slag, which act as nucleation sites. The SEM-EDS results confirm that the gel phase within the system comprises a hydrated calcium silicate gel formed through the reaction of volcanic ash and geopolymer gel formed through geo-polymerization. Analysis of the pore (crack) structure reveals that the compressive strength of the specimens is primarily influenced by porosity, with a secondary influence of the pore fractal dimension.

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Section: Response Surface Equation Establishment and Variance Analysismentioning

confidence: 89%

Mechanical Performance Optimization and Microstructural Mechanism Study of Alkali-Activated Steel Slag–Slag Cementitious Materials

Wang,

Xu,

Zhang

et al. 2024

Buildings

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Mechanical, mineralogical, and microstructural characterization of collapsible loess cured by NaOH solution

Xu,

Zhang,

et al. 2024

Construction and Building Materials

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Cylindrical diffusion model and parameter optimization for NaOH solution reinforcement of collapsible loess

Cited by 2 publications

References 35 publications

Mechanical Performance Optimization and Microstructural Mechanism Study of Alkali-Activated Steel Slag–Slag Cementitious Materials

Mechanical Performance Optimization and Microstructural Mechanism Study of Alkali-Activated Steel Slag–Slag Cementitious Materials

Mechanical, mineralogical, and microstructural characterization of collapsible loess cured by NaOH solution

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