Juan Fuentes
Universidad Nacional del Comahue,Argentina.
Abstract Title:Uncertainty Quantification: A Framework for Robust CubeSat Structural Design
Biography:
Dr. Damián Campos completed his PhD at the National Technological University, Bahía Blanca Regional Faculty (UTN-FRBB). He is an Associate Professor in Mechanical Design at the National University of Comahue. His research on anti-vibration systems for electrical transmission lines and OPGW cable analysis has been published in scientific journals and presented internationally. He provides consulting services for electrical companies, specializing in vibration and anti-vibration system analysis, while integrating teaching, research, and industrial applications in his career.
Research Interest:
The structural design of CubeSats is a crucial aspect of the success of the space mission, as it requires robust and reliable systems capable of withstanding adverse environments during launch and operation. Computational simulations play a fundamental role in evaluating structural performance; however, uncertainties in material properties, boundary conditions, and load scenarios present significant challenges in achieving reliable designs. This paper explores the integration of uncertainty quantification (UQ) and propagation techniques into the simulationassisted structural design of CubeSats. A systematic framework is proposed to identify, analyze, and manage uncertainties throughout the design process. Key methodologies, such as stochastic modeling and sensitivity analysis, are employed to assess their impact on structural performance and reliability. The case study illustrates the application of UQ techniques in analyzing structural components, considering the variability of input parameters. The results emphasize the importance of incorporating UQ to enhance design robustness, support informed decision-making, and mitigate risks in the structural development of CubeSats. This work establishes a solid foundation for advancing uncertainty-aware structural design in small satellite systems.