Adaptive mesh generation procedures for thin-walled tubular structures

被引:7
|
作者
Lee, C. K. [1 ]
Chiew, S. P. [1 ]
Lie, S. T. [1 ]
Nguyen, T. B. N. [1 ]
机构
[1] Nanyang Technol Univ, Div Struct & Mech, Sch Civil & Environm Engn, Singapore, Singapore
关键词
Thin-walled structures; Structural hollow section tubular joints; Consistent geometrical modelling; Adaptive mesh generation; Hierarchical adaptive modelling analyses; SURFACE GEOMETRICAL MODEL; SECTION T-JOINT; FATIGUE PERFORMANCE; QUADRILATERAL MESH; COMBINED LOADS; SHELL ANALYSIS; CORNER CRACK; REFINEMENT; BEHAVIORS; SCHEME;
D O I
10.1016/j.finel.2009.06.011
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, a family of adaptive mesh generation schemes specially designed for finite element modelling of structural hollow section (SHS) tubular joint is presented. This family of adaptive mesh generation schemes is implemented based on a series of realistic and consistent geometrical models which are founded on measurements obtained from real structures. The underlying geometrical models provide the definitions of different levels of geometrical details and special features that could appear during the entire lifecycle of the structure. The adaptive mesh generation schemes accompanying the geometrical models are capable of discretizing the SHS tubular joints into different forms of finite element meshes including pure surface meshes, hybrid meshes with surface and solid elements, and full 3D solid element meshes with or without weld and crack details. As a result, a hierarchical adaptive modelling procedure could be developed to assess the performance of the structures for their whole life cycle from quasi-static failure strength analysis to long-term fatigue and fracture behaviours under cyclic loadings. In addition, all the mesh generators in this family are adaptive mesh generators such that the discretization error of the corresponding FE models could be effectively controlled by combining them with appropriate adaptive refinement schemes. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:114 / 131
页数:18
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