2019 年 85 巻 873 号 p. 18-00172
The proper and comprehensive identification of system-level failure mode during risk assessment with space systems has difficulty due to complexity of system-level interactions which involves multi-physics and dynamic phenomena. This study considers potential system-level failure mode identification by using the multi-physics modeling and dynamic simulation-based approach for system-level risk assessment with space systems. The proposed approach is based on the use of the multi-physics modeling language Modelica, an equation-based object-oriented modeling language which allows acausal modeling for complex cyber-physical systems. Modelica has an important capability of modeling for system-level interactions which involves multi-physics and dynamic phenomena. In this study, the technical feasibility and expected effect of this approach are discussed based on the trial results of this proposed approach.