Adaptive floating node method for modelling cohesive fracture of composite materials

被引:31
|
作者
Lu, X. [1 ]
Chen, B. Y. [2 ]
Tan, V. B. C. [1 ]
Tay, T. E. [1 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 117576, Singapore
[2] Delft Univ Technol, Fac Aerosp Engn, NL-2629 HS Delft, Netherlands
关键词
Adaptive modelling; Fracture; Finite element method; Floating node method; DELAMINATION MIGRATION; PROGRESSIVE DELAMINATION; NUMERICAL-SIMULATION; BRIDGED CRACKS; ZONE LENGTH; DAMAGE; PROPAGATION; FAILURE; GROWTH; PREDICTION;
D O I
10.1016/j.engfracmech.2018.03.011
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The cohesive element has been widely employed to model delamination and matrix cracking in composite materials. However, an extremely fine mesh along the potential crack path is required to achieve accurate predictions of stresses within the cohesive zone. A sufficient number of cohesive elements must be present within the cohesive zone ahead of the crack tip, resulting in very high computational cost and time for application to practical composite structures. To mitigate this problem, an adaptive floating node method (A-FNM) with potential to reduce model size and computational effort is proposed. An element with adaptive partitioning capabilities is designed such that it can be formulated as a master element, a refined element and a coarsened element, depending on the damage state in the progressive damage process. A relatively coarse overall mesh may be used initially, and by transforming the element configurations adaptively, the local refinement and coarsening schemes are applied in the analysis. The localized stress gradient ahead of the crack front within the refinement zone is captured by the refined elements. The refinement and coarsening operations are performed at the elemental level with fixed nodal connectivity, so that global successive remeshing in adaptive mesh refinement (AMR) techniques is avoided; this is the key difference between AMR and A-FNM. It is demonstrated that, without loss of accuracy, the present method simplifies the modelling procedure and reduces computational cost.
引用
收藏
页码:240 / 261
页数:22
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