Optimisation of rheological parameters, induced bleeding, permeability and mechanical properties of supersulfated cement grouts

Abstract

Presenting a promising option that could be used to encapsulate nuclear waste material for disposal, supersulfated cement (SSC) is, again, receiving wide attention among research community as a cementitious system that has noteworthy properties. It is also an environmentally friendly cement since it is mainly composed of ground granulated blast furnace slag (GGBS) that is activated by a sulphate source such as gypsum, hemihydrate or anhydrite. Although there is some research on SSC, little research work has focused on modelling the effects of the various parameters using a statistical approach which is the aim of this paper. The effect of dosages of GGBS, anhydrite (ANH) and water-to-binder ratio (W/B) on the fresh and rheological parameters, induced bleeding, permeability, compressibility, and compressive strength of supersulfated grouts was investigated. Then, statistical models and isoresponse curves were developed to capture the significant trends of the tested parameters using factorial design approach. The models suggested that that W/B had significantly higher influence on most of the parameters tested while the influence of GGBS and ANH and their interactions varied depending on the parameter in question. . The findings of this study show the importance of understanding the role of and optimising the relevant key factors in producing SSC fit-for-purpose. The statistical models developed in this paper can facilitate optimizing the mixture proportions of grouts for target performance by reducing the number of trial batches needed.

Assessment of autonomous and autogenous healing on cementitious grouts promoted by additions of microcapsules and crystalline admixtures

“…The viscosity of the grout with w/b = 0.46 (G2 and G4) is lower than the grout with w/b = 0.39 (G1 and G3). As expected, the increase of water reduces the viscosity due to the reduction of interparticle forces [16,17].…”

Performance-Based Evaluation of Healing Efficiency on Mechanical Properties of Self-Healing Cementitious Materials Incorporated with PMMA/Epoxy Microcapsule

“…It is well-known that the as a mathematical and statistical approach, response surface methodology (RSM) has been widely applied to investigate the influence of independent variables and the interaction among those independent variables, which has demonstrated a great potential for experimental optimisation, particularly in optimising the rheological parameters, hydration and mechanical properties of cementitious materials [35][36][37][38]. Among different RSM approaches, Box-Behnken design (BBD), a rotatable second-order design developed from the three-level factorial design, is often used as a tool for investigation of the influence of variables, in particular, the cases with interactions among variables, due to fewer testing requirements, which has been applied in cement and concrete research [39].…”

Investigation and Optimisation of the Rheological Properties of Magnesium Potassium Phosphate Cement with Response Surface Methodology

“…Hence, the RSM jointly used with the statistic design method (e.g., CCD) is recognised as a significant approach in the design and optimisation process, which has also recently been effectively employed to investigate the interactive effects of independent variables in many areas [ 24 , 25 , 26 ]. In the field of cement and concrete research, RSM demonstrated great potential for experimental optimisation, particularly in optimising the rheological parameters, hydration and mechanical properties of cementitious materials [ 27 , 28 , 29 , 30 ]. Recently, Hou et al [ 31 ] presented their research on optimising the setting time and early-age compressive strength of MPC cement with RSM methodology for rapid repair applications.…”