Parametric reconstruction method for topology optimization results of curved stiffened structures

The topology optimization density field results of curved stiffened structures have problems such as discontinuity and too small structural features, which make them difficult to be directly applied to subsequent fine design and manufacturing. Meanwhile, feature extraction and model reconstruction based on artificial experience have problems such as cumbersome operation and long reconstruction period. To address the above problems, a parametric reconstruction for topology features of curved stiffened structures method is proposed. Firstly, a mapping relationship between three-dimensional surface space and two-dimensional planar space is established for the results of surface stiffened topology optimization, and the transformation from surface optimization results to planar optimization results is realized based on forward mesh mapping. Then, for the planar optimization results, the contour feature parameters are extracted based on the image morphology method, and the geometric model is reconstructed by spline curve interpolation to obtain the parametric model of the planar optimization results. Finally, based on the inverse mapping mesh mapping method, the parametric model of the surface optimization results is obtained, and the parametric reconstruction of the topology optimization results of the surface stiffened structure is realized. Based on the proposed method, three typical curved stiffened structures of bearing cylinder, cabin door and sealed cabin are taken as examples, and the reconstruction results are compared with the optimization results. The results show that the error between the structural response of the parametric reconstruction model and the topology optimization result is within 5%, indicating that the proposed method has excellent reconstruction accuracy.