Paper
23 June 1995 Mid- and long-term debris environment projections using the EVOLVE and CHAIN models
Peter Eichler, Robert C. Reynolds
Author Affiliations +
Abstract
Results of debris environment projections are of great importance for the evaluation of the necessity and effectiveness of debris mitigation measures. EVOLVE and CHAIN are two models for debris environment projections that have been developed independently using different conceptual approaches. A comparison of results from these two models therefore provides a means of validating debris environment projections which they have made. EVOLVE is a model that requires mission model projections to describe future space operation; these projections include launch date, mission orbit altitude and inclimation, mission duration, vehicle size and mass, and classification as an object capable of experiencing breakup from on-board stored energy. EVOLVE describes the orbital debris environment by the orbital elements of the objects in the environment. CHAIN is an analytic model that bins the debris environemnt in size and altitude rather than following the orbit evolution of individual debris fragments. The altitude/size bins are coupled by the initial spreading of fragments by collisions and the following orbital decay behavior. A set of test cases covering a variety of space usage scenarios have been defined for the two models. In this paper, a comparison of the results will be presented and sources of disagreement identified and discussed. One major finding is that despite differences in the results of the two models, the basic tendencies of the environment projections are independent of modeled uncertainties, leading to the demand of debris mitigation measures--explosion suppression and de-orbit of rocket bodies and payloads after mission completion.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Eichler and Robert C. Reynolds "Mid- and long-term debris environment projections using the EVOLVE and CHAIN models", Proc. SPIE 2483, Space Environmental, Legal, and Safety Issues, (23 June 1995); https://doi.org/10.1117/12.212566
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Cited by 5 scholarly publications.
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KEYWORDS
Data modeling

Environmental sensing

Atmospheric modeling

Rockets

Stochastic processes

Computer simulations

Radar

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