The simulation of pyroshock tests through resonant plates is a standard procedure to verify the resistance of space equipment to high-frequency shocks generated by pyrotechnic devices. These shocks lead to significant risks, potentially compromising missions. Space qualification criteria - typically expressed in Shock Response Spectrum (SRS) terms - vary based on launch vehicle characteristics and follow the guidelines provided in international standards such as the NASA-STD-7003A. This study employs a frequency domain-based numerical model and a heuristic optimization algorithm to optimize resonant plate designs, considering irregular quadrilateral shapes. Integrating a CAD modeler, finite element solver, and genetic algorithm optimizer improves SRS prediction accuracy, reduces calibration times, and minimizes trial-and-error repetitions. While adopted decisions may influence specific outcomes, this work outlines a general methodology applicable across diverse requirements and constraints.
Optimization of irregular-shaped resonant plates for pyroshock testing in the aerospace industry / Viale, Luca; Daga, ALESSANDRO PAOLO; Fasana, Alessandro; Garibaldi, Luigi. - ELETTRONICO. - (2024), pp. 740-748. (Intervento presentato al convegno 31st International Conference on Noise and Vibration Engineering, ISMA 2024 tenutosi a Leuven nel 9 - 11 September 2024).
Optimization of irregular-shaped resonant plates for pyroshock testing in the aerospace industry
Viale Luca;Daga Alessandro Paolo;Fasana Alessandro;Garibaldi Luigi
2024
Abstract
The simulation of pyroshock tests through resonant plates is a standard procedure to verify the resistance of space equipment to high-frequency shocks generated by pyrotechnic devices. These shocks lead to significant risks, potentially compromising missions. Space qualification criteria - typically expressed in Shock Response Spectrum (SRS) terms - vary based on launch vehicle characteristics and follow the guidelines provided in international standards such as the NASA-STD-7003A. This study employs a frequency domain-based numerical model and a heuristic optimization algorithm to optimize resonant plate designs, considering irregular quadrilateral shapes. Integrating a CAD modeler, finite element solver, and genetic algorithm optimizer improves SRS prediction accuracy, reduces calibration times, and minimizes trial-and-error repetitions. While adopted decisions may influence specific outcomes, this work outlines a general methodology applicable across diverse requirements and constraints.Pubblicazioni consigliate
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https://hdl.handle.net/11583/2998024
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