Influence of nano-TiO2 on the chloride diffusivity of concrete

IF 1.3 4区 材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY
Garima Rawat, S. Gandhi, Y. Murthy
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引用次数: 2

Abstract

In this research, the benefit of nano-TiO2 concrete over pure concrete in resisting the impacts of chloride diffusion was investigated. An increasing accelerative effect the chloride diffusion was experimentally discovered, which coincided with the movement in the exposed concrete surface caused by diffusion and the damage in concrete microstructure caused by chloride salt accumulation. The “time lag” and “equivalent time” between diffusion and migration tests were used to calculate the steady and non-steady-state chloride diffusion coefficients. Concrete containing 2% nano-TiO2 in the weight of cement demonstrated improved impermeability when compared to pure concrete, owing to improvements in microstructure and porosity. In comparison to pure concrete, the concrete containing nano-TiO2 had a superior performance in resisting the effects of chloride diffusion. Because of its superfine particle size distribution and “filler” effect, nano-TiO2 appeared to assure decreased chloride diffusion in the investigated mixes, test findings revealed that adding supplemental cementitious elements to mortar enhanced its resistance to chloride penetration.
纳米TiO2对混凝土氯离子扩散率的影响
在本研究中,研究了纳米TiO2混凝土在抵抗氯化物扩散影响方面比纯混凝土的优势。实验发现,氯离子的扩散具有加速作用,这与扩散引起的混凝土暴露表面的运动和氯盐积累对混凝土微观结构的破坏相吻合。利用扩散和迁移试验之间的“时滞”和“等效时间”来计算稳态和非稳态氯化物扩散系数。与纯混凝土相比,水泥重量中含有2%纳米TiO2的混凝土表现出更好的抗渗性,这是由于微观结构和孔隙率的改善。与纯混凝土相比,含有纳米TiO2的混凝土在抵抗氯化物扩散影响方面具有优异的性能。由于其超细颗粒尺寸分布和“填料”效应,纳米TiO2似乎可以确保在所研究的混合物中减少氯化物的扩散,测试结果表明,在砂浆中添加补充的胶结元素可以增强其抗氯化物渗透性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Emerging Materials Research
Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
4.50
自引率
9.10%
发文量
62
期刊介绍: Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.
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