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Image Processing, Symbolic PDE Computing, and FEA: A Simulation Study of Stress Distribution in Heterogeneous Material

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Proceedings of the 2nd International Conference on Experimental and Computational Mechanics in Engineering

Abstract

Heterogenous material modeling is typically used in analysis of composite materials and microstructures. Heterogenous materials present difficulty in FEA (Finite Element Analysis) modeling due to irregularity of constituent’s shape. In this study, we demonstrate a method utilizing image processing and symbolic PDE (Partial Differential Equation) FEA to model heterogenous materials. We validated our results with ANSYS, a well-known FEA modeling tool. The stress distribution from our model agree well with result from ANSYS. The results show that the peaks of stress occur in the interface. The results suggest that the topology of the constituent may influence the stress accumulation.

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Correspondence to Israr Bin M. Ibrahim .

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Ibrahim, I.B.M., Fonna, S., Pidaparti, R.M. (2021). Image Processing, Symbolic PDE Computing, and FEA: A Simulation Study of Stress Distribution in Heterogeneous Material. In: Akhyar (eds) Proceedings of the 2nd International Conference on Experimental and Computational Mechanics in Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-0736-3_40

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  • DOI: https://doi.org/10.1007/978-981-16-0736-3_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0735-6

  • Online ISBN: 978-981-16-0736-3

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