This work focuses on a global/local simulation technique, based on the Carrera Unified Formulation (CUF), developed for failure onset analysis in Deployable Rolled-Up Composite Synthetic Aperture Radar (DERAC-SAR) structures. DERAC-SAR addresses space and weight constraints in satellite systems, featuring a rollable deployment mechanism that induces complex three-dimensional (3D) stress fields near fixed boundaries. Accurately capturing these stress fields typically requires computationally intensive 3D models, but this study proposes a multi-step approach to balance accuracy and efficiency. First, a global analysis using 2D elements is performed with Abaqus to evaluate stress and nodal displacements. These displacements then serve as boundary conditions for a refined local analysis using higherorder models in critical regions. The local domains are modelled using CUF, which supports higher-order plate elements and incorporates geometric nonlinear effects, including large displacements and rotations. The nonlinear equations are solved in a total Lagrangian framework using a Newton-Raphson linearization scheme with displacement-control constraints. This method mitigates computational demands while maintaining accuracy, enabling precise prediction of 3D failures in critical areas during the deploying process.
Failure onset evaluation of Deployable Rolled-Up Composite Synthetic Aperture Radar (DERAC-SAR) Antenna via global/local approach / Pagani, A.; Abu Salem, K.; Tresoldi, A.; Shore, J.; Carrera, E.; Aglietti, G. S.. - (2024). ( 75th International Astronautical Congress (IAC) Milan (ITA) 14-18 October, 2024).
Failure onset evaluation of Deployable Rolled-Up Composite Synthetic Aperture Radar (DERAC-SAR) Antenna via global/local approach
A. Pagani;K. Abu Salem;E. Carrera;
2024
Abstract
This work focuses on a global/local simulation technique, based on the Carrera Unified Formulation (CUF), developed for failure onset analysis in Deployable Rolled-Up Composite Synthetic Aperture Radar (DERAC-SAR) structures. DERAC-SAR addresses space and weight constraints in satellite systems, featuring a rollable deployment mechanism that induces complex three-dimensional (3D) stress fields near fixed boundaries. Accurately capturing these stress fields typically requires computationally intensive 3D models, but this study proposes a multi-step approach to balance accuracy and efficiency. First, a global analysis using 2D elements is performed with Abaqus to evaluate stress and nodal displacements. These displacements then serve as boundary conditions for a refined local analysis using higherorder models in critical regions. The local domains are modelled using CUF, which supports higher-order plate elements and incorporates geometric nonlinear effects, including large displacements and rotations. The nonlinear equations are solved in a total Lagrangian framework using a Newton-Raphson linearization scheme with displacement-control constraints. This method mitigates computational demands while maintaining accuracy, enabling precise prediction of 3D failures in critical areas during the deploying process.| File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3002837
