Reticulated shell shape optimization method based on iterative shape finding
An optimization method and iterative technology, applied in special data processing applications, instruments, electrical and digital data processing, etc., can solve the problems of optimal design without considering the coordinate force of reticulated shell nodes, lack of wide applicability, etc.
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Embodiment 1
[0100] Select the Kaiwit reticulated shell as the shape optimization object. The initial structure is Kaiwit reticulated shell with a span of 30m and a rise height of 8m. The schematic layout of the structure is shown in figure 2
[0101] The design parameters are shown in Table 1
[0102] Table 1 Design parameters
[0103] Elastic Modulus Material density Member wall thickness Rod outer diameter E(MPa) ρ(kg / m 3 )
t(m) D(m) 2.0×10 5
7850 0.016 0.351
[0104] The shape optimization result is as Figure 4-6 shown.
[0105] As shown in Table 2, after 6 iterations, the converged reticulated shell model loses height to 6.7m, so the overall weight is reduced from 63.4t to 50.61t, and the self-weight of the member is reduced by about 20%. The ratio of axial stress to bending stress increased from 0.76 to 1.48, and the bending stress of the initial model accounted for the majority. After optimization, the value of axial stress gradual...
Embodiment 2
[0110] The initial structural shape and bar size are the same as in Example 1, and a vertically downward load of 10kN is added at each node, according to figure 1 The process of optimizing the initial reticulated shell structure.
[0111] The shape optimization result is as Figure 7 Shown:
[0112] Table 3 Optimization results
[0113]
[0114] The optimization converged after 7 iterations. Although the initial structural shape is the same as the size of the bar, due to the increase of the nodal load, in order to resist the additional external load, the structural shape needs to be changed to minimize the load-induced bending moment, as shown in As shown in Table 3, the height loss of the optimized reticulated shell model becomes 9.1m, so the overall weight is reduced from 63.40t to 54.73t, and the self-weight of the member is reduced by about 14%. Compared with the optimization result of Example 1, the total weight increases 4.57t, the ratio of axial stress to bending ...
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