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Optimisation of rheological parameters, induced bleeding, permeability and mechanical properties of supersulfated cement grouts
Construction and Building Materials ( IF 7.4 ) Pub Date : 2020-07-09 , DOI: 10.1016/j.conbuildmat.2020.120078
M. Sonebi , A. Abdalqader , T. Fayyad , A. Perrot , Y. Bai

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.



中文翻译:

优化过硫酸盐水泥浆的流变参数,诱发渗漏,渗透性和力学性能

作为一种有前途的选择,可以用来封装用于处理的核废料,超硫酸盐水泥(SSC)再次作为具有显着特性的胶结体系受到了研究界的广泛关注。它也是一种环保型水泥,因为它主要由磨碎的高炉矿渣(GGBS)组成,并由硫酸盐源(如石膏,半水合物或无水石膏)活化。尽管对SSC进行了一些研究,但很少有研究工作集中在使用统计方法对各种参数的影响进行建模,这是本文的目的。GGBS,无水石膏(ANH)的用量和水与粘结剂的比例(W / B)对新鲜和流变学参数,诱发渗出,渗透性,可压缩性,并研究了过硫酸盐浆的抗压强度。然后,开发了统计模型和等响应曲线,以使用析因设计方法来捕获测试参数的显着趋势。这些模型表明,W / B对大多数测试参数具有显着更高的影响,而GGBS和ANH的影响以及它们之间的相互作用取决于所讨论的参数而有所不同。这项研究的结果表明,了解SSC适合用途的作用和优化相关关键因素的重要性。本文开发的统计模型可以通过减少所需的试验批次数量,来帮助优化灌浆的混合比例以达到目标性能。利用因子设计方法,开发了统计模型和等响应曲线以捕获测试参数的重要趋势。这些模型表明,W / B对大多数测试参数具有显着更高的影响,而GGBS和ANH的影响以及它们之间的相互作用则取决于所讨论的参数。这项研究的结果表明,了解SSC适合用途的作用和优化相关关键因素的重要性。本文开发的统计模型可以通过减少所需的试验批次数量,来帮助优化灌浆的混合比例以达到目标性能。使用因子设计方法开发了统计模型和响应曲线,以捕获测试参数的显着趋势。这些模型表明,W / B对大多数测试参数具有显着更高的影响,而GGBS和ANH的影响以及它们之间的相互作用则取决于所讨论的参数。这项研究的结果表明,了解SSC适合用途的作用和优化相关关键因素的重要性。本文开发的统计模型可以通过减少所需的试验批数来促进优化灌浆的混合比例以达到目标性能。这些模型表明,W / B对大多数测试参数具有显着更高的影响,而GGBS和ANH的影响以及它们之间的相互作用取决于所讨论的参数而有所不同。这项研究的结果表明,了解SSC适合用途的作用和优化相关关键因素的重要性。本文开发的统计模型可以通过减少所需的试验批数来促进优化灌浆的混合比例以达到目标性能。这些模型表明,W / B对大多数测试参数具有显着更高的影响,而GGBS和ANH的影响以及它们之间的相互作用取决于所讨论的参数而有所不同。这项研究的结果表明,了解SSC适合用途的作用和优化相关关键因素的重要性。本文开发的统计模型可以通过减少所需的试验批数来促进优化灌浆的混合比例以达到目标性能。

更新日期:2020-07-10
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