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Stabilized electrical conductivity in nano-engineered ultra-high performance concrete under prolonged freezing exposure: Nano-reinforcement and cryo-induced water migration mechanism

材料科学 复合材料 电阻率和电导率 机制(生物学) 电导率 电阻和电导 岩土工程 导电体 热导率 冶金
作者
Weichen Tian,Xianglong Liu,Baoguo Han,Sufen DONG,Ruipeng Qiu
出处
期刊:Construction and Building Materials [Elsevier BV]
卷期号:518: 145836-145836 被引量:5
标识
DOI:10.1016/j.conbuildmat.2026.145836
摘要

Concrete with stable electrical conductivity is essential for critical intelligent infrastructure functions such as self-monitoring and deicing, but its performance under long-term freezing exposure remains a major challenge. This study developed a multifunctional carbon fiber strengthened ultra-high performance concrete (CFS-UHPC) by incorporating nano carbon blacks (NCBs) and carbon nanofibers (CNFs), achieving exceptional electrical conductivity under prolonged freezing exposure (-7.5°C). Results identified the benefits of low-content CNFs on improving the mechanical strength and highlighted NCBs as the pivotal component for electrical stability, yielding resistances of 455.5 Ω and 533.17 Ω at 28 and 135 days, respectively. A key finding was a dramatic 86.6% reduction in electrical resistance after 128-day freezing exposure. Microstructural and electrochemical analyses revealed that this enhancement was due to a coarsened pore structure and a unique cryo-pumping effect. Furthermore, machine learning models achieved highly accurate predictions of the electrical resistance, with an R-squared value of 0.9839, and confirmed NCBs and freezing exposure as the dominant controlling factors. This research provides a practical and mechanistic framework for engineering the next generation of durable and intelligent concrete composites for resilient infrastructure in cold climates. • Low-content CNFs promoted strength increase. • NCBs significantly enhanced electrical conductivity of CFS-UHPC. • Cryo-pumping effect promoted unfrozen water redistribution and helped to stabilize electrical properties. • Random Forest and Support Vector Regression exhibited superior performance. • SHAP analysis verified benefits of NCBs and freezing exposure on stabilizing electrical properties.
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