利用测量频率的变化和粒子群优化来评估梁中的裂纹

Horea-Adrian Grebla, Vasile Catalin Rusu, Gilbert-Rainer Gillich, Thu Hang Bui
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引用次数: 0

摘要

本文提出了一种通过识别简支梁裂缝的位置和严重程度(深度)来检测简支梁裂缝的方法。该方法基于完整梁和裂纹梁的弯曲振动的固有频率和粒子群算法。为了解释这种方法,我们计算了所有可能损伤情况下8种振动模式的相对频移(RFS)。为此,我们使用了先前研究中推导出的一个数学关系。接下来,我们监视固有频率,在发生变化的情况下,我们计算rfs。对于所有模式,我们分别从所有计算的rfs中减去测量的rfs。考虑到减法得到的绝对值,如果计算的rfs和测量的rfs重合,我们得到8个高程为零的表面。对于不同的振动模式,零标高点形成不同形状的曲线。这些曲线的交点,即所有表面高程为零的位置,表明了损伤的位置和严重程度。将八个曲面的高程值逐点相加,我们得到一个新的曲面,它有两个点(由于对称),高程为零。这些点的坐标表示损伤参数。我们使用生成的曲面作为目标函数,并找到涉及PSO的最小值的坐标。利用该方法可以准确地识别出损伤的位置和严重程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of cracks in beams using changes in the measured frequencies and Particle Swarm Optimization
This paper presents a method for detecting a crack in simply supported beams by identifying its location and severity (depth). The method is based on the measured natural frequencies for several bending vibration modes of an intact and cracked beam and the Particle Swarm Optimization (PSO). To explain the approach, we calculate the relative frequency shifts (RFS) for eight vibration modes for all possible damage cases. To this aim, we use a mathematical relation deduced in previous research. Next, we monitor the natural frequencies, and in case of arising changes, we calculate the RFSs. We subtract, separately for all modes, the measured RFSs from all calculated RFSs. Considering the absolute values the subtractions achieve, we obtain eight surfaces that achieve elevation zero if the calculated and measured RFSs coincide. The zero-elevation points form curves with different shapes for the different vibration modes. The intersection of these curves, thus the location where all surfaces have zero elevation, indicates the damage location and severity. Adding the elevation values of the eight surfaces point by point, we obtain a new surface that has two points (due to symmetry) with zero elevation. The coordinates of these points indicate the damage parameters. We use the generated surface as an objective function and find the coordinates of the minima involving PSO. Using this method, we accurately identified the damage location and severity.
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