Corrosion Sensing Properties of Carbon Black-Based Cementitious Smart Coatings

Gabriele Milone , Maria Cruz Alonso , Christos Vlachakis , Jean-Marc Tulliani , Abir Al-Tabbaa
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Abstract

This research explores the sensing capabilities of carbon black (CB)-based cementitious coatings for detecting deformations arising from reinforcement corrosion. The investigation focused on a chlorides-contaminated reinforced mortar element subjected to controlled accelerated corrosion. The objective is to utilize smart coatings’ sensing properties to establish a link between electrochemical attacks and the mechanical effects induced by corrosion. Differently from their more frequent application in the literature, this type of study focused on a chemical attack rather than physical. The sensors were employed to quantify the increase in internal stress and strain due to oxide formation and propagation within the matrix.
The sensors exhibit good sensitivity to corrosion progression identifying attack penetration on the reinforcement and crack formation on the surface. The research was initiated with the implementation of a protocol designed to efficiently accelerate corrosion in reinforced mortar beams, considering varying rebar exposure. Subsequently, a correlation was established between the electromechanical response of the smart coatings and the ongoing corrosion in the substrate, culminating in surface fracture development. Positioned transversally to the beam’s longitudinal direction, all sensors consistently provided accurate crack propagation measurements up to an average width of 116 ± 45 μm. Additionally, the sensors demonstrated the ability to provide crack development measurements also when positioned at varying distances from the directly affected rebar sections. This study expands the use of smart carbon-based coatings, positioning them as multifunctional systems beyond traditional structural applications.
炭黑基胶凝智能涂料的耐腐蚀性能
本研究探讨了碳黑(CB)基胶凝涂层检测钢筋腐蚀引起的变形的传感能力。以氯化物污染的钢筋砂浆构件为研究对象,进行了可控加速腐蚀试验。目标是利用智能涂层的传感特性,在电化学攻击和腐蚀引起的机械效应之间建立联系。与它们在文献中更频繁的应用不同,这种类型的研究侧重于化学攻击而不是物理攻击。传感器用于量化由于氧化物在基体内形成和传播而引起的内应力和应变的增加。该传感器对腐蚀过程具有良好的敏感性,可识别钢筋的腐蚀渗透和表面裂纹的形成。考虑到不同的钢筋暴露,该研究开始于一项协议的实施,该协议旨在有效地加速钢筋砂浆梁的腐蚀。随后,智能涂层的机电响应与基体中持续的腐蚀之间建立了相关性,最终导致表面断裂发展。所有传感器均与梁的纵向横向放置,可提供精确的裂纹扩展测量,平均宽度可达116±45 μm。此外,在距离直接受影响的钢筋段不同距离的位置,传感器也能够提供裂缝发展测量。这项研究扩展了智能碳基涂料的使用,将其定位为超越传统结构应用的多功能系统。
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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CiteScore
1.70
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