Szymanik Barbara, Frankowski Paweł Karol, Chady Tomasz, John Chelliah Cyril Robinson Azariah
Szczecin Department of Electrical and Computer Engineering, West Pomeranian University of Technology, ul. Sikorskigo 37, Szczecin 70-313, Poland.
Department of Nanosciences and Technology, School of Science and Humanities, Karunya University, Coimbatore, Tamilnadu 641114, India.
Sensors (Basel). 2016 Feb 16;16(2):234. doi: 10.3390/s16020234.
The purpose of this paper is to present a multi-sensor approach to the detection and inspection of steel bars in reinforced concrete structures. In connection with our past experience related to non-destructive testing of different materials, we propose using two potentially effective methods: active infrared thermography with microwave excitation and the eddy current technique. In this article active infrared thermography with microwave excitation is analyzed both by numerical modeling and experiments. This method, based on thermal imaging, due to its characteriatics should be considered as a preliminary method for the assessment of relatively shallowly located steel bar reinforcements. The eddy current technique, on the other hand, allows for more detailed evaluation and detection of deeply located rebars. In this paper a series of measurement results, together with the initial identification of certain features of steel reinforcement bars will be presented.
本文的目的是提出一种用于检测和检查钢筋混凝土结构中钢筋的多传感器方法。结合我们过去在不同材料无损检测方面的经验,我们提出使用两种可能有效的方法:微波激励主动红外热成像法和涡流技术。在本文中,通过数值模拟和实验对微波激励主动红外热成像法进行了分析。这种基于热成像的方法,由于其特性,应被视为评估相对浅层钢筋的初步方法。另一方面,涡流技术可以对深层钢筋进行更详细的评估和检测。本文将给出一系列测量结果以及对钢筋某些特征的初步识别。