Mechanistic study on the influence of nano‑SiO₂ on the properties of smart cementitious composites to sulfate attack: From experiments to evaluation modeling

IF 8 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Ziyi Song , Sherong Zhang , Chao Wang , Xiaohua Wang , Zihan Huang
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Abstract

The potential impact of sulfate attack on the self-sensing performance of smart cementitious composites posed non-negligible risks to the accuracy of structural health monitoring. This study aimed to enhance the sulfate attack resistance of those containing multi-walled carbon nanotubes (MWCNTs) by incorporating nano-SiO₂ (NS). Mechanical, electrical, and cyclic piezoresistive properties were determined under sulfate exposure. Microstructure and phase composition were characterized using MIP, FE-SEM, EDS, XRD, and TG-DTG. A new evaluation model integrated the maximum fractional change in resistivity (FCRmax), stress sensitivity (SES), strain sensitivity (SAS), and the stress–FCR vertical offset (SFVO) to yield a self-sensing performance index (SPI). Results showed that 0.5 wt% NS-modified mortar most effectively mitigated self-sensing performance degradation during late-stage erosion. Under varying load amplitudes, the maximum increases in FCRmax, SES, and SAS compared to other samples were 4.0, 10.2, and 6.0 times, respectively; under varying loading rates, these indicators increased by 6.9, 14.0, and 9.1 times; moreover, smaller standard deviation (SD) and coefficient of variation (CV) of SFVO indicated lower volatility and enhanced stability of self-sensing performance. The pozzolanic and nucleation effects of NS and MWCNTs reduced porosity by 4.11–15.97 %, inhibited sulfate ion transport, and decreased corrosion products by 10.1 % after 180 days of erosion. SPI increased with load amplitude but decreased with loading rate; high rates, coupled with corrosion products, accelerated self-sensing degradation, reducing the maximum SPI by 2.89–5.41 % versus low rates. These findings provide a foundation for designing durable smart cementitious composites and predicting their long-term performance in sulfate environments.
纳米sio2对智能胶凝复合材料抗硫酸盐侵蚀性能影响的机理研究:从实验到评价模型
硫酸盐侵蚀对智能胶凝复合材料自传感性能的潜在影响,对结构健康监测的准确性构成了不可忽视的风险。本研究旨在通过掺入纳米sio₂(NS)来提高多壁碳纳米管(MWCNTs)的抗硫酸盐侵蚀能力。在硫酸盐暴露下测定了机械、电气和循环压阻性能。采用MIP、FE-SEM、EDS、XRD和TG-DTG对其微观结构和相组成进行了表征。一种新的评价模型综合了电阻率最大分数变化(FCRmax)、应力敏感性(SES)、应变敏感性(SAS)和应力- fcr垂直偏移量(SFVO),从而产生自感知性能指数(SPI)。结果表明,0.5 wt% ns改性砂浆最有效地缓解了后期侵蚀过程中自感知性能的退化。在不同载荷幅值下,FCRmax、SES和SAS的最大增幅分别为其他样品的4.0倍、10.2倍和6.0倍;在不同加载速率下,这些指标分别增加了6.9倍、14.0倍和9.1倍;此外,SFVO的标准差(SD)和变异系数(CV)越小,表明自感知性能的波动性越低,稳定性越强。经过180天的侵蚀,NS和MWCNTs的火山灰和成核效应使孔隙率降低了4.11-15.97 %,抑制了硫酸盐离子的运输,腐蚀产物减少了10.1 %。SPI随加载幅度增大而增大,随加载速率减小;高速率与腐蚀产物相结合,加速了自感知降解,与低速率相比,最大SPI降低了2.89-5.41 %。这些发现为设计耐用的智能胶凝复合材料和预测其在硫酸盐环境中的长期性能提供了基础。
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来源期刊
Construction and Building Materials
Construction and Building Materials 工程技术-材料科学:综合
CiteScore
13.80
自引率
21.60%
发文量
3632
审稿时长
82 days
期刊介绍: Construction and Building Materials offers an international platform for sharing innovative and original research and development in the realm of construction and building materials, along with their practical applications in new projects and repair practices. The journal publishes a diverse array of pioneering research and application papers, detailing laboratory investigations and, to a limited extent, numerical analyses or reports on full-scale projects. Multi-part papers are discouraged. Additionally, Construction and Building Materials features comprehensive case studies and insightful review articles that contribute to new insights in the field. Our focus is on papers related to construction materials, excluding those on structural engineering, geotechnics, and unbound highway layers. Covered materials and technologies encompass cement, concrete reinforcement, bricks and mortars, additives, corrosion technology, ceramics, timber, steel, polymers, glass fibers, recycled materials, bamboo, rammed earth, non-conventional building materials, bituminous materials, and applications in railway materials.
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