Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Adaptive Coupling of Peridynamic and Classical Continuum Mechanical Models Driven by Broken Bond/Strength Criteria for Structural Dynamic Failure. |
| Συγγραφείς: |
Li, JiuYi, Liu, ShanKun, Han, Fei, Mei, Yong, Sun, YunHou, Zhou, FengJun |
| Πηγή: |
International Journal for Numerical Methods in Engineering; 4/15/2025, Vol. 126 Issue 7, p1-19, 19p |
| Θεματικοί όροι: |
Structural failures, Crack propagation, Optimization algorithms, Finite element method, Computational mechanics, Continuum mechanics |
| Περίληψη: |
Peridynamics (PD) is widely used to simulate structural failure. However, PD models are time consuming. To improve the computational efficiency, we developed an adaptive coupling model between PD and classical continuum mechanics (PD‐CCM) based on the Morphing method, driven by the broken bond or strength criteria. We derived the dynamic equation of the coupled models from the Lagrangian equation and then the discretized finite element formulation. An adaptive coupling strategy was introduced by determining the key position using the broken bond or strength criteria. The PD subdomain was expanded by altering the value of the Morphing function around the key position. Additionally, the PD subdomain was meshed by discrete elements (DEs) (i.e., nodes were not shared between elements), allowing the crack to propagate freely along the boundary of the DE. The remaining subdomains were meshed by continuous elements (CEs). Following the PD subdomain expansion, the CEs were converted into DEs, and new nodes were inserted. The displacement vector and mass matrix were reconfigured to ensure calculation consistency throughout the solving process. Furthermore, the relationship between the expansion radius of the PD subdomain and the speed of crack propagation was also discussed. Finally, the effectiveness, efficiency, and accuracy of the proposed model were verified via three two‐dimensional numerical examples. [ABSTRACT FROM AUTHOR] |
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| Βάση Δεδομένων: |
Complementary Index |