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Proceedings Paper

Realistic and efficient 2D crack simulation
Author(s): Jacob Yadegar; Xiaoqing Liu; Abhishek Singh
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Paper Abstract

Although numerical algorithms for 2D crack simulation have been studied in Modeling and Simulation (M&S) and computer graphics for decades, realism and computational efficiency are still major challenges. In this paper, we introduce a high-fidelity, scalable, adaptive and efficient/runtime 2D crack/fracture simulation system by applying the mathematically elegant Peano-Cesaro triangular meshing/remeshing technique to model the generation of shards/fragments. The recursive fractal sweep associated with the Peano-Cesaro triangulation provides efficient local multi-resolution refinement to any level-of-detail. The generated binary decomposition tree also provides efficient neighbor retrieval mechanism used for mesh element splitting and merging with minimal memory requirements essential for realistic 2D fragment formation. Upon load impact/contact/penetration, a number of factors including impact angle, impact energy, and material properties are all taken into account to produce the criteria of crack initialization, propagation, and termination leading to realistic fractal-like rubble/fragments formation. The aforementioned parameters are used as variables of probabilistic models of cracks/shards formation, making the proposed solution highly adaptive by allowing machine learning mechanisms learn the optimal values for the variables/parameters based on prior benchmark data generated by off-line physics based simulation solutions that produce accurate fractures/shards though at highly non-real time paste. Crack/fracture simulation has been conducted on various load impacts with different initial locations at various impulse scales. The simulation results demonstrate that the proposed system has the capability to realistically and efficiently simulate 2D crack phenomena (such as window shattering and shards generation) with diverse potentials in military and civil M&S applications such as training and mission planning.

Paper Details

Date Published: 1 May 2010
PDF: 8 pages
Proc. SPIE 7705, Modeling and Simulation for Defense Systems and Applications V, 77050I (1 May 2010); doi: 10.1117/12.852440
Show Author Affiliations
Jacob Yadegar, UtopiaCompression Corp. (United States)
Xiaoqing Liu, UtopiaCompression Corp. (United States)
Abhishek Singh, UtopiaCompression Corp. (United States)


Published in SPIE Proceedings Vol. 7705:
Modeling and Simulation for Defense Systems and Applications V
Eric J. Kelmelis, Editor(s)

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