Dynamic Simulation Probabalistic Risk Assessment Model for an Enceladus Sample Return MissionEnceladus, a moon of Saturn, has geyser-like jets that spray plumes of material into orbit. These jets could enable a free-flying spacecraft to collect samples and return them to Earth for study to determine if they contain the building blocks of life. The Office of Planetary Protection at NASA requires containment of any unsterilized samples and prohibits destructive impact of the spacecraft upon return to Earth, with a sample release probability of less than 1 in 1,000,000 as a recommended goal. This paper describes a probabilistic risk assessment model that uses dynamic simulation techniques to capture the physics-based, time- and state-dependent interactions between the sample return system and the environment, which drive the risk of sample release. The dynamic approach uses a Monte Carlo-style simulation to integrate the many phases and sources of risk for a sample return mission. The model is used to assess the achievability of the planetary protection reliability goal. This is accomplished by performing sensitivity studies assessing the impact of modeling assumptions to identify where uncertainties drive the risk. These results, in turn, are used to examine the feasibility of meeting key design and performance parameters that are needed to achieve the reliability goal for a given architecture with existing technologies.
Document ID
20190026557
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Mattenberger, Christopher J. (Science and Technology Corp. Moffett Field, CA, United States)
Mathias, Donovan L. (NASA Ames Research Center Moffett Field, CA, United States)
Gee, Ken (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
June 23, 2019
Publication Date
April 26, 2015
Subject Category
Spacecraft Design, Testing And PerformanceQuality Assurance And Reliability
Report/Patent Number
ARC-E-DAA-TN19811Report Number: ARC-E-DAA-TN19811
Meeting Information
Meeting: 2015 International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA)