Grid parameterization-based structure multi-disciplinary design optimization method

Abstract

The invention relates to a grid parameterization-based structure multi-disciplinary design optimization method. According to the method, analysis grids of all disciplines are parameterized by utilizing a grid deformation technique, and the consistency of grid changes of all the disciplines at a coupled interface is guaranteed; the multi-disciplinary design optimization of a structure is realized on the basis of grid parameterization, so that the problems caused by needing to regenerate a geometric model and divide grids during each time of optimization iteration in the traditional optimization design method are effectively avoided.

Description

technical field [0001] The invention relates to a structural multidisciplinary design optimization method based on grid parameterization, which belongs to the field of structural design. Background technique [0002] Multidisciplinary design optimization is an optimization design method developed in recent decades to solve coupling problems of multiple disciplines. Compared with the traditional single-subject serial design method, the coupling design between subjects is considered, which is more appropriate to the essence of the problem and has higher design accuracy; the multi-objective mechanism is used to balance the interaction between subjects, and the overall best design can be obtained. The waste of manpower, material resources and financial resources caused by repeated design is avoided; the collaborative / parallel design idea is introduced, which effectively improves the design efficiency. Due to the advantages shown by multidisciplinary design optimization, it has ...

AI Technical Summary

Problems solved by technology

This optimization cycle has the following defects: 1) It has high requirements for the parametric design of the geometric model; and in view of the current generation method of the geometric model, it cannot guarantee that a reasonable geometric model can be generated, and in severe cases, it may even cause the model update to fail

2) It is difficult to ensure the quality of the re-divided grid, which causes the drift of the numerical analysis during the optimization process, which seriously affects the credibility of the optimization results of the fluid and contact problems that are highly sensitive to the grid quality; there is a problem of grid division failure Risks, especially for the overall design of aircraft, aero-engines, and vehicle and ship systems, the meshing of a large number of parts requires huge time costs

Images