In this study, a computational framework is proposed to investigate multiscale dynamic fracture phenomena in materials with microstructures. The micro- and macro-scales of a composite material are integrated by introducing an adaptive microstructure representation. Then, the far and local fields are simultaneously computed using the equation of motion, which satisfies the boundary conditions between the two fields. Cohesive surface elements are dynamically inserted where and when needed, and the Park-Paulino-Roesler cohesive model is employed to approximate nonlinear fracture processes in a local field. A topology-based data structure is utilized to efficiently handle adjacency information during mesh modification events. The efficiency and validity of the proposed computational framework are demonstrated by checking the energy balances and comparing the results of the proposed computation with direct computations. Furthermore, the effects of microstructural properties, such as interfacial bonding strength and unit cell arrangement, on the dynamic fracture behavior are investigated. The computational results demonstrate that local crack patterns depend on the combination of microstructural properties such as unit cell arrangement and interfacial bonding strength; therefore, the microstructure of a material should be carefully considered for dynamic cohesive fracture investigations.
|Number of pages||23|
|Journal||International Journal for Numerical Methods in Engineering|
|Publication status||Published - 2020 Dec 30|
Bibliographical noteFunding Information:
Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning, 20174030201480; National Research Foundation of Korea, 2018R1A2B6007054 Funding information
This work was supported the National Research Foundation of Korea funded by the Ministry of Science, ICT and Future Planning (grant number: 2018R1A2B6007054), and by the Korea Institute of Energy Technology Evaluation and Planning funded by the Ministry of Trade, Industry and Energy (grant number: 20174030201480). The information presented in this article represents the sole opinion of the authors and does not necessarily reflect the views of the sponsoring agency.
All Science Journal Classification (ASJC) codes
- Numerical Analysis
- Applied Mathematics