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Optimization of mechanical behavior of sandwich panel with prismatic core based on yield and buckling constraints using the teaching-learning-based optimization algorithm

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Abstract

A sandwich panel is characterized by a high strength-to-weight ratio due to its unique structural design. Design variables for sandwich panels should be determined in such a way that they have the least weight while still providing the necessary strength. The teaching and learning-based optimization algorithm is used in this study to optimize corrugated-core sandwich panels’ weight. The thickness of the core and top as well as the height of the panel are considered design variables in order to minimize the weight of the panel. It was found that the panel with the hexagonal core had the highest structural efficiency. The results of the comparison indicate that the optimization algorithm based on teaching and learning is very useful and competitive with other heuristic algorithms because it uses function values directly and does not require derivatives for problems that require general optimization.

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Authors and Affiliations

  1. College English Department, Changchun College of Electronic Technology, Changchun, 130000, Jilin, China

    Xun Feng

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  1. Xun Feng
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XF: Writing-Original draft preparation, Conceptualization, Supervision, Project administration.

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Correspondence to Xun Feng.

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Feng, X. Optimization of mechanical behavior of sandwich panel with prismatic core based on yield and buckling constraints using the teaching-learning-based optimization algorithm. Proc.Indian Natl. Sci. Acad. 89, 851–857 (2023). https://doi.org/10.1007/s43538-023-00194-6

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