Quantitative Assessments of a Resilience Evaluation Framework for Future Deep Space Habitats

For the next generation space systems, resilience is considered as a key criterion in exploring optimal system architectures across various space applications. Deep space habitation, serving as a base and scientific research laboratory is one space engineering system which must be highly resilient. For long-term space exploration, space habitats should consistently perform their intended performances even in the face of partial system failures due to unanticipated external disturbances by deploying recovery actions. Therefore, designing, optimizing and evaluating complex deep space habitat systems based on resilience assessment are crucial at the early design phase. Researchers in various academic fields have developed generic resilience quantification metrics applicable across different disciplines and damage scenarios. However, these metrics often fail to capture the distinct characteristics of space conditions and application requirements since they are not specifically designed for such contexts. To address this limitation, this paper proposes a deterministic resilience quantification framework specifically designed for future deep space habitats. First, the paper defines resilience and its relevant concepts in terms of deep space habitats. It then presents a comprehensive literature review on resilience analysis, particularly deterministic approaches. The review extends to existing space application standards to outline performance bounds for habitat evaluation. Building on this foundation, the paper introduces a resilience quantification framework that incorporates existing deterministic resilience metrics as well as additional performance curve functions, reflecting unique characteristics of habitat requirements, potential damaged behaviors, and harsh space conditions. The framework is then quantitatively analyzed and compared with existing metrics, highlighting its advantages.