Study on Mechanical Properties of Nano-TiC- and Nano-SiO2-Modified Basalt Fiber Concrete

Xin Yang, Zhengjun Wang, Xinzheng Wang, Yajing Wen, Yingxin Du, Fengchun Ji
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Abstract

The load-bearing capacity of a building is influenced by the strength of the concrete. However, when faced with complex environments, ordinary concrete is not always adequate. The strength of concrete can be enhanced by incorporating additives into it. At this point, the study of adding basalt fiber (BF) and nano-SiO2 (NS) to concrete is pretty advanced. Still, research on the incorporation of nano-TiC (NT) into concrete is limited. In order to study the effect of NT, BF, and NS on the strength of concrete, in this paper, these materials were incorporated into concrete and NSF concrete was made by semi-dry mixing. And the concrete was analyzed for slump, compressive strength, splitting tensile strength, flexural strength, and modulus of elasticity. The optimization of the mechanical characteristics of concrete was conducted using response surface methodology (RSM), and the microstructure of concrete was used for analysis by scanning electron microscopy (SEM). To develop a thirst function optimization model based on NSF concrete, parallel experiments were used to verify the accuracy of the optimization results. The research findings show that NS, NT, and BF reduced the slump of concrete. Adding NT, NS, and BF in moderate amounts can enhance the mechanical characteristics of the concrete. The material’s optimal proportions for mixing were 0.85% for NT, 0.11% for BF, and 1.94% for NS. The optimized concrete has a maximum error of 9.03% in compressive strength, 9.30% in split tensile strength, and 9.82% in flexural strength.
纳米 TiC 和纳米二氧化硅改性玄武岩纤维混凝土力学性能研究
建筑物的承重能力受混凝土强度的影响。然而,面对复杂的环境,普通混凝土并不总是足够的。在混凝土中加入添加剂可以提高混凝土的强度。目前,在混凝土中添加玄武岩纤维(BF)和纳米二氧化硅(NS)的研究已相当深入。然而,关于在混凝土中掺入纳米 TiC(NT)的研究还很有限。为了研究 NT、BF 和 NS 对混凝土强度的影响,本文在混凝土中掺入了这些材料,并采用半干法搅拌制成 NSF 混凝土。并对混凝土的坍落度、抗压强度、劈裂拉伸强度、抗折强度和弹性模量进行了分析。采用响应面法(RSM)对混凝土的力学特性进行了优化,并利用扫描电子显微镜(SEM)对混凝土的微观结构进行了分析。为了建立基于 NSF 混凝土的渴求函数优化模型,采用了平行实验来验证优化结果的准确性。研究结果表明,NS、NT 和 BF 能降低混凝土的坍落度。适量添加 NT、NS 和 BF 可以提高混凝土的力学性能。材料的最佳混合比例为:NT 0.85%、BF 0.11%、NS 1.94%。优化后的混凝土抗压强度最大误差为 9.03%,劈裂拉伸强度最大误差为 9.30%,抗折强度最大误差为 9.82%。
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