Tuning of NASA Standard Breakup Model for Fragmentation Events Modelling

Cimmino, Nicola and Isoletta, Giorgio and Opromolla, Roberto and Fasano, Giancarmine and Basile, Aniello and Romano, Antonio and Peroni, Moreno and Panico, Alessandro and Cecchini, Andrea (2021) Tuning of NASA Standard Breakup Model for Fragmentation Events Modelling. Aerospace, 8 (7). p. 185. ISSN 2226-4310

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Abstract

The continuous growth of space debris motivates the development and the improvement of tools that support the monitoring of a more and more congested space environment. Satellite breakup models play a key role to predict and analyze orbital debris evolution, and the NASA Standard Breakup Model represents a widely used reference, with current activities relevant to its evolution and improvements especially towards fragmentation of small mass spacecraft. From an operational perspective, an important point for fragmentation modelling concerns the tuning of the breakup model to achieve consistency with orbital data of observed fragments. In this framework, this paper proposes an iterative approach to estimate the model inputs, and in particular, the parents’ masses involved in a collision event. The iterative logic exploits the knowledge of Two Line Elements (TLE) of the fragments at some time after the event to adjust the input parameters of the breakup model with the objective of obtaining the same number of real fragments within a certain tolerance. Atmospheric re-entry is accounted for. As a result, the breakup model outputs a set of fragments whose statistical distribution, in terms of number and size, is consistent with the catalogued ones. The iterative approach is demonstrated for two different scenarios (i.e., catastrophic collision and non-catastrophic collision) using numerical simulations. Then, it is also applied to a real collision event.

Item Type: Article
Subjects: STM Library > Engineering
Depositing User: Managing Editor
Date Deposited: 06 Feb 2023 05:20
Last Modified: 15 May 2024 09:32
URI: http://open.journal4submit.com/id/eprint/1112

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