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Cluster Analyses of Lunar-Mars Life Support Test Project Simulations

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  2007 ASAE Annual Meeting  077043.(doi:10.13031/2013.23410)
Authors:   Ryan P Goss, Haibei Jiang, Luis F Rodríguez, (or initial) (or initial)
Keywords:   Advanced Life Support System, Cluster Analysis, System optimization, Heuristics, Genetic Algorithm, Nonlinear regression

BioSim, a life support system modeling tool has been utilized to analyze several scenarios considering a closed human-crop system. These scenarios are based on the Lunar-Mars Life Support Test Project (LMLSTP) conducted at NASA-Johnson Space Center. Initially, a single crew member was integrated within a vacuum pressure chamber which contained an 11.2 m2 growth chamber. Recently, several heuristic and procedural tools were designed for optimization of scenarios based on the original NASA project. The simulation output was expected to be a scattered distribution but in actuality, several distinct tiers of output were observed. This tiering effect led to the hypothesis that certain crop subsystem configurations inherently perform very well, while others perform poorly. The objective of this work has been to identify the characteristics of these configurations and determine whether any correlation exists with the quality of the system.

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