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Dynamic Adaptive Mesh Refinement Algorithm for Failure in Brittle Materials
Fan, Zongyue

2016, Master of Sciences, Case Western Reserve University, EMC - Mechanical Engineering.
The present work is aimed at developing a dynamic adaptive mesh refinement (DAMR) method for the study of failure mechanisms in brittle materials within the eigenfracture framework. A mesh refinement method based on boundary representation technique (B-rep) and Delaunay triangulation is developed. In addition, a flip algorithm is employed to guarantee the quality of the refined mesh. The mesh refinement algorithm is verified in an example of static adaptive mesh generation of polycrystalline structures that are created by using Voronoi tessellation. Furthermore, the DAMR method is built upon the combination of the adaptive mesh refinement algorithm and the eigenfracture approach. In the DAMR, the energy release rate G is used as the adaption. Finally, the DAMR method is validated by comparing to mode-I and mixed mode fracture experiments on concrete materials. The simulation results show excellent agreement with experimental measurements and more accurate predictions than the original eigenfracture approach.
Bo Li (Committee Chair)
Vikas Prakash (Committee Member)
John Lewandowski (Committee Member)
84 p.

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Fan, Z. (2016). Dynamic Adaptive Mesh Refinement Algorithm for Failure in Brittle Materials. (Electronic Thesis or Dissertation). Retrieved from https://etd.ohiolink.edu/

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Fan, Zongyue. "Dynamic Adaptive Mesh Refinement Algorithm for Failure in Brittle Materials." Electronic Thesis or Dissertation. Case Western Reserve University, 2016. OhioLINK Electronic Theses and Dissertations Center. 15 Dec 2017.

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Fan, Zongyue "Dynamic Adaptive Mesh Refinement Algorithm for Failure in Brittle Materials." Electronic Thesis or Dissertation. Case Western Reserve University, 2016. https://etd.ohiolink.edu/

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