Topological optimization method for structural defect identification
A topology optimization and structural defect technology, applied in the field of structural defect identification, can solve problems such as complex algorithm steps and many preset parameters, and achieve an intuitive display effect
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Embodiment 1
[0047] see figure 1 , the present invention provides a topology optimization method for structural defect identification, such as figure 1 As shown, the method includes the following steps:
[0048] S1: Measure the displacement response of the structure with defects at the specified position. The measurement position of the two-dimensional structure can be selected arbitrarily, and the measurement position of the three-dimensional structure is located on the outer surface, but the structural measurement position needs to avoid the structural constraint position and the excitation load application position.
[0049] S2: Establish a 2D / 3D model of the defect-free structure, consider the measurement position point, and establish a finite element model. The nodes of the finite element model of the defect-free structure need to pass through the measurement position point.
[0050] S3: if figure 2 As shown, the design variables are defined on all elements of the finite element mo...
Embodiment 2
[0083] image 3 As shown, according to a preferred embodiment of the present invention, the structure is a two-dimensional beam structure with an aspect ratio of 2:1, only the static displacement response of the structure is considered, all degrees of freedom on the left boundary are constrained, and the midpoint of the right boundary is imposed A vertical downward concentrated load, with displacement response measurement points set on the upper and lower boundaries, and two rectangular defect areas set in the middle, divides the structural domain into 60×30 four-node units. Using the method provided by the present invention to carry out structural defect identification topology optimization, after convergence, the following is obtained: Figure 4 Results shown, where dark areas are defect-free domains and light areas are identified defects.
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