Structural damage location and damage degree identification method based on small amount of static measurement data
A technology for measuring data and structural damage, applied in the direction of applying stable tension/pressure to test the strength of materials, etc., can solve the problems of large amount of data and low recognition efficiency, and achieve the effect of easy implementation, small measurement error and improved recognition accuracy.
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Embodiment 1
[0075] Example 1: Damage identification for a simply supported beam
[0076] Such as figure 1 The simply supported beam with a rectangular interface is shown, the geometric parameters are shown in the figure, and the structural parameters are: Young's modulus E=3.0×10 10 N / m 2 , material density ρ=2800kg / m 3 . Decompose the simply supported beam into figure 1 The 20 Euler-Bernoulli beam elements shown. Assuming damage occurs to the 5th and 14th elements, their stiffnesses are reduced by 15% and 20%, respectively.
[0077] 1) Step 1: Select an external load solution
[0078] figure 2 are the two preset options to be selected, and the selection indicators can be calculated separately to get: D 1 =3.9750,D 2 =2.9814. D by comparison 2 smaller. illustrate figure 2 The external load application scheme in (b) is better.
[0079] 2) Step 2: Predict Suspicious Units
[0080] According to the selected external loading scheme, the deflection values of nodes 4, 6, 8, 1...
Embodiment 2
[0083] Example 2: Damage identification for a three-span continuous beam
[0084] Such as Figure 5 The geometric parameters of the three-span continuous beam of rectangular section shown are shown in the figure. The structural parameters are: Young's modulus E=3.0×10 10 N / m 2 , material density ρ=2800kg / m 2 . put the beam as Figure 5 The discretization shown is 24 elements. Assume that units 4 and 21 are damaged, and the degree of damage is 20%. The loading scheme is already pre-selected, see Figure 5 .
[0085] 1) Forecast can unit
[0086] According to the position where the force acts, select the measuring point. Measure the deflection values at nodes 3, 5, 7, 11, 13, 15, 19, 21 and 23. Using these 9 measurement data, the respective RSE values of 24 cells were calculated. get results like Figure 6 shown. It can be seen that the RSE values of cells 4, 5, 20 and 22 stand out clearly. Then select these 4 units as suspicious units for further identifica...
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