Developing efficient monitoring systems to control reinforced concrete structures (RCS) is still an open research line in the building sector. Thus, in this work was proposed the novelty use of Ni voltammetric sensor to control the concrete conditions by means of PCA model. The efficiency of voltammetric sensors are verified in other sectors like food or wastewater treatment, where the sensors are used in liquid media, in the study was intended verify the high potential use of this sensors in porous materials such as concrete. With this purpouse the sensor response was characterized in three different concretes (w/c = 0.6, w/c = 0.5 and w/c = 0.4) and three different concrete conditions (water satured conditions, presence of chlorides and concrete carbonation). Then, was developed a PCA model, where was verified the capability of the sensor to classify the concrete state. The validation of the model pointed an acceptance range between 78.3% and 95.4% (with a 95% confidence index).

开发有效的监测系统来控制钢筋混凝土结构 (RCS) 仍然是建筑领域的一个开放研究方向。因此，在这项工作中提出了新颖的使用 Ni 伏安法传感器通过 PCA 模型控制具体条件的方法。伏安法传感器的效率在食品或废水处理等其他领域得到验证，在这些领域中，传感器用于液体介质，研究旨在验证这种传感器在多孔材料（如混凝土）中的高潜力用途。出于这个目的，传感器响应在三种不同的混凝土中进行表征（w/ c  = 0.6，w/ c  = 0.5 和 w/ c = 0.4) 和三种不同的混凝土条件（水饱和条件、氯化物的存在和混凝土碳化）。然后，开发了一个 PCA 模型，验证了传感器对具体状态进行分类的能力。模型的验证表明可接受范围在 78.3% 和 95.4% 之间（具有 95% 的置信度指数）。