Short and long-term reconstruction of in-orbit fragmentation events

Short and long-term reconstruction of in-orbit fragmentation events

Francesca Ottoboni, Andrea Muciaccia, Camilla Colombo

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Abstract. Over the past decade, the number of space debris has steadily increased. Consequently, the risk of collision between debris and active satellites has also increased, threatening the safety of space operations. Therefore, it is crucial to characterise fragments as soon as possible after their formation, to gather information about the fragmentation event which has generated them. In this context, the PUZZLE software has been developed at Politecnico di Milano to reconstruct past in-orbit breakups. This research aims at improving the current routine to obtain more accurate results and at optimising it for the analysis of fragmentations in the GEO and MEO regions.

Keywords
Fragmentation Events, Debris Characterisation, Backward Propagation

Published online 6/1/2024, 4 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Francesca Ottoboni, Andrea Muciaccia, Camilla Colombo, Short and long-term reconstruction of in-orbit fragmentation events, Materials Research Proceedings, Vol. 42, pp 154-157, 2024

DOI: https://doi.org/10.21741/9781644903193-34

The article was published as article 34 of the book Aerospace Science and Engineering

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

References
[1] Muciaccia, A., Romano, M., & Colombo, C. (2021). Detection and characterisation of in- orbit fragmentations over short and long periods of time. Proceedings of the International Astronautical Congress, IAC, A6.
[2] Andrișan, R. L., Ioniță, A. G., González, R. D., Ortiz, N. S., Caballero, F. P., & Krag, H. (2017). Fragmentation Event Model and Assessment Tool (FREMAT) Supporting on-Orbit Fragmentation Analysis. 7th European Conference on Space Debris, Darmstadt, Germany.
[3] Dimare, L., Cicalò, S., Rossi, A., Alessi, E. M., & Valsecchi, G. B. (2019). In-orbit fragmentation characterization and parent bodies identification by means of orbital distances. First International Orbital Debris Conference (IOC), Sugarland, Houston, TX, USA.
[4] Frey, S., Colombo, C., & Lemmens, S. (2018). Advancement of a density-based debris fragment model and application to on-orbit break-up localisation, 36th IADC plenary meeting, Jun. 5-8 2018, Tsukuba, Japan.
[5] Romano, M., Muciaccia, A., Trisolini, M., Di Lizia, P., Colombo, C., Di Cecco, A., & Salotti, L. (2021). Characterising in-orbit fragmentations with the PUZZLE software. 8th International Conference on Astrodynamics Tools and Techniques, Darmstadt, Germany.
[6] Lidtke, A., Gondelach, D. J., & Armellin, R. (2019). Optimising filtering of two-line element sets to increase re-entry prediction accuracy for GTO objects. Advances in Space Research, vol. 63, pp. 1289-1317. https://doi.org/10.1016/j.asr.2018.10.018
[7] Vallado, D. A., Crawford, P., Hujsak, R, et al. (2006). Revisiting Spacetrack Report #3. https://doi.org/10.2514/6.2006-6753
[8] Colombo, C. (2016). Planetary Orbital Dynamics (PlanODyn) suite for long term propagation in pertubed environment. Proceedings of the 6th International Conference on Astrodynamics Tools and Techniques (ICATT), Darmstadt, Germany.
[9] Gondelach, D. J., Armellin, R., & Lidtke, A. (2017). Ballistic Coefficient Estimation for Reentry Prediction of Rocket Bodies in Eccentric Orbits Based on TLE Data. Mathematical Problems in Engineering. https://doi.org/10.1155/2017/7309637
[10] Hoots, F. R., Crawford, L. L., & Roehrich, R. L. (1984). An analytic method to determine future close approaches between satellites. Celestial Mechanics, vol. 33, pp. 143-158. https://doi.org/10.1007/BF01234152
[11] Zappala, V., Cellino, A., Farinella, P., & Knezevic, Z. (1990). Asteroid families. I – Identification by hierarchical clustering and reliability assessment. The Astronomical Journal, vol. 100, pp. 2030-2046. https://doi.org/10.1086/115658
[12] Johnson, N. L., Krisko, P. H., Liou, J. C., & Anz-Meador, P. D. (2001). NASA’s new breakup model of EVOLVE 4.0. Advances in Space Research, vol. 28, pp. 1377-1384. https://doi.org/10.1016/S0273-1177(01)00423-9
[13] Olivieri, L., Giacomuzzo, C., Lopresti, S. et al. (2023). Simulation of In-Space Fragmentation Events. Aerotec. Missili Spaz. https://doi.org/10.1007/s42496-023-00186-1
[14] Detomaso R. (2022). “Hybrid gaussian mixture model and unscented transformation algorithm for uncertainty propagation within the PUZZLE software”, Politecnico di Milano, MSC in Space Engineering, Supervisor: Camilla Colombo, Co-supervisor: Andrea Muciaccia.