Research on Mesh Generation in the Finite Element Numerical Analysis Based on Radial Basis Function Neural Network
The modeling for three-dimensional finite element numerical simulation considering the terrain has been the problem in the numerical calculation of engineering. The application in the digital terrain model is proposed base on the radial basis function neural network in this paper. Combing super-element mesh automatic generation method, the automatic generation of calculation mesh is constructed in the finite element model of hydraulic structure with complex three-dimensional terrain. The results show that the finite element mesh can reflect the topographic variations by this method and mesh shape is better, it provides good basis condition for finite element calculation.
radial basis function neural network hydraulic engineering numerical calculation finite element modeling AutoCAD platform
Xiaochun Lu Bin Tian
School of Water Resources and Hydropower China Wuhan Univsity Wuhan, China College of Hydraulic and Environmental Engineering China Three Gorges University Yichang, China
国际会议
太原
英文
157-160
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）