Risk Assessment

Session: 11C, Wednesday, 27 January 2010, 1330-1530
Moderator: John V. Turner, Ph.D., NASA Johnson Spaceflight Center

This session includes papers on a wide variety of risk related applications. From Lunar surface systems analysis, through the assessment of the fire risk in an historic hanger, and the assessment of a residential care facility. The session demonstrates the broad spectrum of applications that have been addressed with risk assessment models.

Papers:
11C1 [0183] ASSESSING THE FIRE RISK FOR A HISTORIC HANGAR
by Koushik Datta, Ph.D. and Richard Morrison, NASA
This paper documents a fire risk assessment performed at NASA Ames Research Center (ARC) in relation to the renovation of a historic hangar.

11C2 [0050] POTENTIAL APPLICATION OF FORM AND SORM FOR PRA
by Edward J. Zampino, NASA Glenn Research Center and Ian Miller, N&R Engineering and Management Services
Response Surface Technique is being considered as a way to allow any computationally intense high fidelity physics-based model to generate eventual input probabilities for a PRA logic model. First order, second order, and Monte Carlo reliability methods were applied to a streamlined finite element model of a hypothetical propeller blade design. Then physical complexity was incrementally added to the test model to demonstrate when FORM, SORM and Monte Carlo begin to show differences.

11C3 [0196] FMEA AT A RESIDENTIAL CARE FACILITY
by Karen Mohan, Duane Huffman, CRE, and George Gross, Relex Software Corporation
This paper describes a Failure Modes and Effects Analysis (FMEA) performed on an Emergency Alert System at a residential care facility. The FMEA included both the functional failures of the electronic system as well as the human factors that could cause a failure in the process. Management used the analysis to focus on mitigating the risk associated with the most critical failure modes at the facility.

11C4 [0200] RISK ASSESSMENT SENSITIVITY STUDY FOR LUNAR SURFACE SYSTEMS
by Susie Go, Ph.D., Donovan L. Mathias, Ph.D, NASA Ames Research Center, Hamed S. Nejad, Ph.D., ELORET Corporation
The goal of this study has been to prioritize the lunar surface risk analysis activities by first identifying the major transportation and lunar surface elements’ risk drivers and then quantifying the sensitivity of the surface systems’ performance to various risk parameters. A dynamic Monte Carlo risk simulation model consisting of all transportation and lunar surface elements is developed for this study.

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