Title :
Research on mesh generation in the finite element numerical analysis based on radial basis function neural network
Author :
Lu, Xiaochun ; Tian, Bin
Author_Institution :
Sch. of Water Resources & Hydropower, China Wuhan Univsity, Wuhan, China
Abstract :
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.
Keywords :
mesh generation; radial basis function networks; terrain mapping; digital terrain model; finite element numerical analysis; hydraulic structure; mesh generation; radial basis function neural network; super-element mesh automatic generation method; three-dimensional finite element numerical simulation; Accuracy; Artificial neural networks; Digital elevation models; Finite element methods; Radial basis function networks; Shape; Solid modeling; AutoCAD platform; finite element modeling; hydraulic engineering; numerical calculation; radial basis function neural network;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5623240
