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Towards Computational Functional Hazard Assessment (CFHA): A Gap Analysis and Concept for Emerging Aviation SystemsGiven the current evolution of the National Airspace and future trajectory towards novel and evolving operations with varying levels of autonomy, complexity, and acceptable risk, there is an opportunity to support safety assurance by extending existing methodologies, such as Functional Hazard Assessment (FHA). In response to challenges in performing FHA for novel aviation concepts, we propose a concept for Computational Functional Hazard Assessment (CFHA), which provides processes, methods, and tools for incorporating external data to facilitate further exploration of the hazard space iterativelty throughout the design process. The core components of CFHA involve knowledge capture from historical and operational data, functional architecture specification via a formal modeling language, and simulation for hazardous scenario analysis. Through this concept, we aim to adapt conventional safety assessment to address the increasingly complex hazard space generated from emerging operations.
Document ID
20240013093
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Seydou Mbaye
(Ames Research Center Mountain View, United States)
Daniel Hulse
(Ames Research Center Mountain View, United States)
Lukman Irshad
(KBR (United States) Houston, Texas, United States)
Hannah S Walsh
(Ames Research Center Mountain View, United States)
Sequoia R Andrade
(HX5 (United States) Fort Walton Beach, Florida, United States)
Date Acquired
October 15, 2024
Subject Category
Air Transportation and Safety
Meeting Information
Meeting: AIAA SciTech Forum and Exposition
Location: Orlando, FL
Country: US
Start Date: January 6, 2025
End Date: January 10, 2025
Sponsors: American Institute of Aeronautics and Astronautics
Funding Number(s)
WBS: 340428.02.60.01.01
CONTRACT_GRANT: 80ARC020D0010
CONTRACT_GRANT: 80ARC020D0010
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
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