Abstract
This research proposes a correlation coefficient for detecting and evaluating defects in beams, which brings about a positive outcome in terms of accuracy and efficiency. This parameter surpasses other parameters, such as natural frequency and damping coefficient, thanks to its sensitivity to structural changes. Our results show that although the damping coefficient had more variation than the natural frequency value in the same experiment, its changes were insufficient and unstable at different levels of defects. In addition, the proposed correlation coefficient parameter has a linear characteristic and always changes significantly according to increasing levels of defects. The results outweigh damping coefficient and natural frequency values. Furthermore, this value is always sensitive to measurement channels, which could be an important factor in locating defects in beams. The testing index is statistically evaluated by a normal distribution of the amplitude value of vibration measurement signals. Changes and shifts in this distribution are the basis for evaluating beam defects. Thus, the suggested parameter is a reliable alternative for assessing the defects of a structure.
Highlights
Research on detecting defects in bridge beams and other construction components has taken place in two major areas. e first study uses mathematical models to simulate the structures of mechanical systems
We proposed a new parameter—the correlation coefficient—to detect and evaluate defects in beams
It is much more sensitive to defects than the natural frequency or the damping coefficient. is research has raised four prominent points: (i) e natural frequency values in the experimental model were not sensitive enough to detect defects in the beam. e changes in this value were too small compared to the development of defects. erefore, natural frequency measurements hardly meet the requirements of detecting defects in structures
Summary
Research on detecting defects in bridge beams and other construction components has taken place in two major areas. e first study uses mathematical models to simulate the structures of mechanical systems. Research on detecting defects in bridge beams and other construction components has taken place in two major areas. E first study uses mathematical models to simulate the structures of mechanical systems. Ese studies use certain parameters to evaluate the overall stiffness level, EJx. e second research area, which seeks to obtain a solution to the inverse problem, is aimed at determining structural characteristics by using algorithms to retrieve relevant information. Some of these algorithms evaluate the performance of a structure under actual working conditions. (i) Detecting: to inspect and confirm the presence of defects (ii) Locating: to localize defects (iii) Evaluating: to assess the impact of these defects on the structure and determine their degrees in order to organize periodic tests and inspection
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