Structural damage detection method based on nonlinear output frequency response function
A technique for outputting frequency and response function, which is used in the processing of detected response signals, analysis of solids using sonic/ultrasonic/infrasonic waves, etc.
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Embodiment 1
[0059] The method of the present invention is used to detect the damage of the bridge structure model. In this embodiment, the damage of the bridge structure is caused by loosening the bolts connecting the bridge structure to simulate the loosening of the daily bridge structure. figure 2 The schematic diagram of the model of the bridge structure is shown. In the figure, 1 is the measurement response point of the acceleration sensor, 2 is the excitation point of the white noise signal, 3 is the connecting bolt of the bridge model structure, and 4 is the 2mm butt joint gap of the bridge model structure.
[0060] image 3 Shown is the experimental detection flow chart of this embodiment. Use a white noise source to generate a broadband white noise signal, and use a low-pass filter to filter it to make its energy more concentrated; because the signal energy generated by the white noise source is limited, a linear power amplifier is required to amplify it. And use the white noise...
Embodiment 2
[0091] The method of the invention is used for damage detection of the aluminum plate, and the damage is simulated by processing seams and round holes. Figure 5(A) ~ Figure 5(C) Shown are the schematic diagrams of the structure of the aluminum plate in three different states, where Figure 5(A) shows the aluminum plate without damage, 1 is the measurement response point, and 2 is the excitation point. Figure 5(B) is an aluminum plate with a circular hole 5 with a diameter of 2mm, and Figure 5(C) is an aluminum plate with a 10×0.4mm slit 6, and all other experimental conditions are the same.
[0092] Using the similar damage detection steps in Embodiment 1, the nonlinear output frequency response function of the structure in different states and related indexes of the nonlinear output frequency response function can be obtained, as shown in Table 4 and Table 5 respectively.
[0093] Table 4
[0094]
[0095] table 5
[0096]
example 2
[0097] The experimental results of Example 2 also prove that it is feasible to judge whether the system is damaged by comparing the indicators related to the nonlinear output frequency response function of the system in two different states.
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