Fast visualization of finite element analysis results using multiresolution meshes

被引：0
作者：
Jin-Hoo Kim
Hyun-Gyu Kim
机构：
[1] Seoul National University of Science and Technology,Department of Mechanical Engineering, Graduate School
[2] Seoul National University of Science and Technology,Department of Mechanical and Automotive Engineering
来源：
Journal of Mechanical Science and Technology | 2022年 / 36卷
关键词：
Finite element analysis; Mesh coarsening; Multiresolution meshes; Real-time simulations; Visualization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a new method for fast visualization of finite element analysis results using multiresolution meshes. The original mesh of a finite element model is coarsened and simplified to quickly visualize finite element results, and the simplified coarse mesh is overlaid with the original mesh in local regions of high stress gradients. Local regions of high stress gradients are efficiently detected by using pre-computed weights for shape function derivatives of finite elements. A parallelization scheme is applied to further accelerate the visualization speed of finite element analysis results. Numerical results show that the present method can be appliable to fast visualization of finite element analysis results in real-time simulations.
引用
收藏
页码：4625 / 4633
页数：8
相关论文
共 37 条
[1]  
Zhu J Z(1988)Adaptive techniques in the finite element method Communications in Applied Numerical Methods 4 197-204
[2]  
Zienkiewicz O C(1991)A refined global-local finite element analysis method International Journal for Numerical Methods in Engineering 32 29-43
[3]  
Mao K M(1991)A locally refined rectangular grid finite element method: application to computational fluid dynamics and computational physics Journal of Computational Physics 92 1-66
[4]  
Sun C T(1999)Coarsening of mesh models for representation of rigid objects in finite element analysis International Journal for Numerical Methods in Engineering 44 313-326
[5]  
Young D P(2017)A new method for coarsening tetrahedral meshes International Journal for Numerical Methods in Engineering 112 2048-2066
[6]  
Hattangdy N V(2019)Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems Mechanical Systems and Signal Processing 123 264-297
[7]  
Liu J(2019)On polynomial hyperreduction for nonlinear structural mechanics International Journal for Numerical Methods in Engineering 118 701-717
[8]  
Lu K(2010)Nonlinear model reduction via discrete empirical interpolation SIAM Journal on Scientific Computing 32 2737-2764
[9]  
Martynov K(2014)Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy-based mesh sampling and weighting for computational efficiency International Journal for Numerical Methods in Engineering 98 625-662
[10]  
Wever U(2001)Modeling and control of physical processes using proper orthogonal decomposition Mathematical and Computer Modelling 33 223-236
1234