基于边界面法的CAE与CAD一体化研究
[Abstract]:The integration of CAD and CAE has become a hot topic in engineering and scientific computing. At present, the finite element method is widely used in commercial CAE analysis software, and the analysis model is obtained by the discrete of the grid generation module to the CAD model. The former is a continuous parameter model, and the latter is the approximate discrete grid model. Therefore, although the CAE analysis function is added to many CAD software, it is not possible to fundamentally realize the seamless integration of the two. The boundary surface method based on the boundary integral equation has many advantages, for example, it generally requires only the surface of the discrete problem domain and may employ discrete units. In the boundary surface method, the numerical integration of the boundary and the interpolation of the field variable are carried out in the two-dimensional parameter space of the boundary surface of the geometric model. The geometric data is directly calculated by the parametric surface, rather than the piecewise polynomial interpolation approximation, so that the geometric error can be avoided, and the integration of the CADCAE can be facilitated. In this paper, based on the boundary surface method, a series of exploration is made in the design and theory of the integration of CAD and CAE. The following research work is mainly done: (1) In order to realize the automatic generation of the surface mesh of the complex three-dimensional entity, this paper constructs a solid surface mesh automatic generation framework using the C ++ language. The framework is divided into six parts: common geometric interface module, topology repair, mesh size field, curve dispersion, grid data management and grid generation method. In this paper, a unified grid data manager is designed to facilitate the adjustment, maintenance and expansion of the program. In the framework, various two-dimensional grid generation methods can be conveniently added and implemented, and the obtained grid cells can be converted into a calculation unit and can be exported to other modules (such as a body grid generation module). (2) In order to realize the automatic generation of the surface triangle mesh of the complex three-dimensional entity, this paper presents a method of combining the advance wave front method and the Delaunay method to generate the grid. The method uses the advance wave front method to generate the inner point of the plane, and then the point is added into the grid by using the delaunay kernel interpolation point algorithm. In this paper, the recognition of the leading edge is added, the leading edge is divided into the front of the active and the non-active front, and the new point is only inserted into the leading edge of the activity. The adaptive dimension field based on the adjacent feature of the surface is created and used as the background mesh, so that the generated mesh can better reflect the adjacent features of the curved surface. The method can generate a high-quality surface mesh, and can ensure the convergence of grid generation. At the same time, the grid method is realized, so that the grid generation scale for several types of surface features is greatly reduced. (3) In order to realize the surface mesh generation of the steel frame structure with the welding seam, in view of the characteristics of the boundary surface method, the topological repair of three surface defect geometric features such as the short side, the narrow surface and the non-smooth boundary is completed directly based on the continuous surface model. All operations involved in the topology repair are virtual operations and do not change the geometry of the original model. And a hybrid mesh generation method based on the grid method is proposed, different grid generation methods are adopted for different sub-regions, and finally, the mesh in the sub-region is combined to obtain a final curved surface mesh. Compared with the traditional grid generation method, the grid scale is greatly reduced. (4) In order to solve the weak singular and near singular integral in the boundary integral equation, a general adaptive unit subdivision method is proposed. The method comprises the following steps of: dividing a unit by a series of balls with a source point as a ball center and a constant radius, and enabling the integration piece close to the source point to be automatically encrypted and subdivided, And the migration algorithm of the additional points is added in the process of generating the integral piece to ensure that each integral piece has a higher "-Okay." shape and size. The algorithm is suitable for any shape of cell and the source point can be in any position. The accuracy of the calculation obtained by using the method provided by the method is remarkably improved. Moreover, in the case where the calculation accuracy of the same order of magnitude is required, a much less Gaussian integration point is required for the algorithm, and thus the calculation efficiency is greatly improved. (5) In the multi-domain boundary surface method, a domain number sequence optimization algorithm is proposed to reduce the bandwidth of the overall assembly matrix. Since the sparse structure of the matrix is directly related to the order of unknowns in the system of the integral equations, a sort of sort strategy is used to obtain the best block structure. The advantage of the domain sequence number optimization algorithm is that the non-zero blocks in the matrix are as close as possible to the main diagonal. In this algorithm, one or more hierarchies are first generated by considering the degree of freedom and connectivity of the domain. Second, for each successive hierarchy, calculate the bandwidth for these hierarchies, respectively. Finally, the domain is re-ordered according to the hierarchy with the minimum bandwidth. The numerical example shows that the time of LU decomposition of the whole matrix is significantly reduced by using the algorithm, and the memory overhead is also significantly reduced.
【学位授予单位】:湖南大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:TP391.7
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