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Advanced engineered cementitious composites with combined self-sensing and self-healing functionalities

机译:先进的工程水泥复合材料,具有自感应和自修复功能

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摘要

This study focused on enhancing the self-sensing ability of engineered cementitious composites (ECC) to accurately monitor their cracking behavior and healing performance. The ultimate goal was to develop an advanced smart material that combines self-sensing and self-healing capacities, while preserving the high mechanical and ductility properties of standard ECC. To achieve those features, carbon fibers (CF) and carbon nanotubes(CNT) were added to ECC mixtures in different concentrations. Compressive and flexural strength and mid-span beam deflection capacity testing of sound specimens were performed as part of the mechanical characterization. Recovery rates of flexural properties were assessed on pre cracked specimens at different healing ages. The combined self-sensing and self-healing capabilities of sound and pre-cracked specimens were evaluated based on electrical resistivity (ER) measurements completed at different moisture states and healing ages. Microstructural analysis was used to investigate outer and inner regions of healed crack lines. Test results showed that mechanical properties, self healing ability and conductivity of ECC can be improved by incorporating CNFs or CNTs. However, accurate combined self-sensing and self-healing efficiency can only be reached with CNT-based ECCs. (C) 2018 Elsevier Ltd. All rights reserved.
机译:这项研究的重点是增强工程胶结复合材料(ECC)的自感应能力,以准确监测其开裂行为和愈合性能。最终目标是开发一种先进的智能材料,该材料结合了自感应和自修复功能,同时保留了标准ECC的高机械和延展性。为了实现这些功能,将碳纤维(CF)和碳纳米管(CNT)添加到不同浓度的ECC混合物中。作为机械表征的一部分,对声音样本进行了抗压强度和抗折强度以及中跨梁的挠度测试。在不同愈合年龄下,对预开裂试样的弯曲特性恢复率进行了评估。声音和预破裂样品的综合自我感测和自我修复能力是根据在不同湿度和愈合年龄下完成的电阻率(ER)测量进行评估的。显微结构分析被用来研究愈合裂缝线的外部和内部区域。测试结果表明,通过掺入CNF或CNT可以改善ECC的机械性能,自愈能力和导电性。但是,只有使用基于CNT的ECC才能达到准确的组合的自我检测和自我修复效率。 (C)2018 Elsevier Ltd.保留所有权利。

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