基于PCA模型的混凝土碳化检测新型伏安传感器系统的初步设计

Martínez Ibernón Ana, Lliso-Ferrando Josep Ramon, Gasch Isabel, Valcuende Manuel, Gandía-Romero José Manuel, Soto Juan
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引用次数: 0

摘要

混凝土碳化监测在结构维护中起着重要的作用,因为这种现象引起的腐蚀是工业区、道路和城市中钢筋混凝土结构(RCS)的主要破坏原因之一。混凝土的碳化作用是由多孔网内部的CO2渗透产生的,主要与混凝土孔隙溶液中含有的Ca(OH)2结合产生低溶解度的碳酸盐,最终导致pH值下降至中性水平。pH值的下降导致钢筋钝化层的失稳和最终的普遍破坏,这是普遍腐蚀之前的步骤。现有的混凝土碳化检测系统是基于电位传感器来检测混凝土孔隙溶液的pH值。这些都有一些局限性,如不同的反应在传感器表面的干扰。考虑到这些限制,在本研究中,提出了一种新型的伏安型Au传感器系统,该系统嵌入混凝土中用于检测混凝土碳化。在伏安传感器中,施加的电位扫描信号包括pH变化对传感器响应影响较大的电位范围。然后,通过多变量分析PCA(主成分分析)的响应处理,可以管理大量的变量,减少与其他分析物的干扰影响,增加pH变化效应在获得的数据中的重要性。从而提高了系统检测混凝土碳化的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Initial proposal of a novel voltammetric sensor system for the detection of concrete carbonation by means of PCA model
The monitoring of concrete carbonation takes an important role in the structures maintenance, considering that corrosion induced by this phenomenon is one of the mainly failure causes in the Reinforcement Concrete Structures (RCS) located in industrial zones, roads and cities. Carbonation of concrete is produced by the penetration of the CO2 inside of the porous net, which is mainly combined with the Ca(OH)2 contained in the concrete pore solution producing carbonates with low solubility and eventually causing a pH drop until neutral levels. The pH drop produces the instability and final generalised destruction of the rebars passive layers, which is the step that precedes generalized corrosion. The current existing systems to detect concrete carbonation are based on potentiometric sensors to detect the pH of concrete pore solution. These have some limitations such as the interference of different reactions on the sensor surface. Considering these limitations, in this study a novel system of voltammetric Au sensors embedded in concrete for the detection of concrete carbonation was presented. In the voltammetric sensor, the potential sweep signal applied comprises the potential range where the effect of the pH variations has more influence in the sensor response. Then the response processing by means of the multivariate analysis PCA (principal component analysis) allows to manage a huge quantity of variables and to reduce the effect of the interference with other analytes, increasing the importance of the pH changes effect in the obtained data. Thus, increasing the reliability of the system to detect the concrete carbonation.
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来源期刊
自引率
0.00%
发文量
342
审稿时长
6 weeks
期刊介绍: MATEC Web of Conferences is an Open Access publication series dedicated to archiving conference proceedings dealing with all fundamental and applied research aspects related to Materials science, Engineering and Chemistry. All engineering disciplines are covered by the aims and scope of the journal: civil, naval, mechanical, chemical, and electrical engineering as well as nanotechnology and metrology. The journal concerns also all materials in regard to their physical-chemical characterization, implementation, resistance in their environment… Other subdisciples of chemistry, such as analytical chemistry, petrochemistry, organic chemistry…, and even pharmacology, are also welcome. MATEC Web of Conferences offers a wide range of services from the organization of the submission of conference proceedings to the worldwide dissemination of the conference papers. It provides an efficient archiving solution, ensuring maximum exposure and wide indexing of scientific conference proceedings. Proceedings are published under the scientific responsibility of the conference editors.
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