System-Level Modeling and Simulation-Based Approach to Risk Assessment for Space Systems

The proper and comprehensive identification of systemlevel failure mode during risk assessment for space systems has difficulty due to the complexity of system-level interactions that involve multi-physics and dynamic phenomena. This study looks into system-level potential failure mode identification by using a system-level modeling and simulation-based approach to risk assessment for space systems. The proposed approach is based on utilization of the modeling language "Modelica", an equation-based, objectoriented modeling language that allows acausal modeling for complex cyber-physical systems. The Modelica has an important modeling capability for system-level interactions that involve multi-physics phenomena. This paper discusses the technical feasibility and expected effect of this approach based on several trial results of the proposed approach. Furthermore, this paper presents several issues with this approach as future work subjects.