Abstract
This study introduces a novel methodology for digitalizing aircraft certification processes under Federal Aviation Administration (FAA) FAR Part 23, Subpart C, through a model-based systems engineering (MBSE) approach utilizing the Systems Modeling Language (SysML). The proposed framework encodes regulatory requirements and substantiation methods—primarily derived from ASTM International consensus standards. These model elements are parsed into structured data formats and used to inform a suite of codes that perform all required substantiation calculations. The methodology is demonstrated across three representative aircraft architectures, illustrating its adaptability to varying certification characteristics. Key outputs include automated generation of flight envelopes, balancing loads, and powerplant load calculations. The framework incorporates symbolic computation and robust error-handling mechanisms to ensure continuity and resilience in the face of model updates. Beyond its technical contributions, the study addresses broader interdisciplinary concerns in transportation systems, including regulatory harmonization, digital governance, and organizational transformation. By embedding certification logic into a traceable digital framework, the methodology enhances transparency, reduces procedural complexity, and fosters collaboration among stakeholders. These features position the framework as a scalable solution for future extensions to other certification domains and regulatory subparts. The work contributes to ongoing efforts to modernize aviation certification through digital tools, aligning with new perspectives on policy compliance, institutional interoperability, and the co-evolution of technology and regulation.