Abstract: One of the main features of deployable double-layer tensegrity grids (DDLTGs) is their capacity to fold and significantly reduce in size and volume, making them ideal for transport and storage. This study analyzes the foldability of DDLTGs using computational tools to determine the most efficient folding strategy. A multidisciplinary approach is employed, combining structural engineering, parametric design, and optimization. Various folding algorithms and techniques are tested to find configurations that enhance structural performance. The methodology includes both computational simulations and experimental testing to evaluate mechanical behavior. The structure of the DDLTG is first described in detail, followed by the introduction of software tools: ToyGL is used for folding simulations and visualizations, while Excel processes the results. Eight folding configurations are tested, grouped into two strategies based on the elements involved. The folding process is divided into two stages to allow a more detailed analysis. In the second stage, the most efficient configuration from each strategy is selected for optimization. Specific criteria are defined to assess folding efficiency and ensure objective comparison. The goal is to identify the strategy that offers the best performance. These findings contribute to the advancement of deployable tensegrity structures and their practical applications.

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