Actions for Risk Estimation Methodology for Launch Accidents [electronic resource].

Email RIS file
Bookmark
Report an Issue

Risk Estimation Methodology for Launch Accidents [electronic resource].

Published
Washington, D.C. : United States. National Nuclear Security Administration, 2014.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description
8 pages : digital, PDF file
Additional Creators
Sandia National Laboratories, United States. National Nuclear Security Administration, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online

Availability

I Want It
I Want It

Finding items...

Restrictions on Access
Free-to-read Unrestricted online access
Summary
As compact and light weight power sources with reliable, long lives, Radioisotope Power Systems (RPSs) have made space missions to explore the solar system possible. Due to the hazardous material that can be released during a launch accident, the potential health risk of an accident must be quantified, so that appropriate launch approval decisions can be made. One part of the risk estimation involves modeling the response of the RPS to potential accident environments. Due to the complexity of modeling the full RPS response deterministically on dynamic variables, the evaluation is performed in a stochastic manner with a Monte Carlo simulation. The potential consequences can be determined by modeling the transport of the hazardous material in the environment and in human biological pathways. The consequence analysis results are summed and weighted by appropriate likelihood values to give a collection of probabilistic results for the estimation of the potential health risk. This information is used to guide RPS designs, spacecraft designs, mission architecture, or launch procedures to potentially reduce the risk, as well as to inform decision makers of the potential health risks resulting from the use of RPSs for space missions.
Report Numbers
E 1.99:sand2014-1670c
sand2014-1670c
Subject(s)
Other Subject(s)
Note
Published through SciTech Connect.
02/01/2014.
"sand2014-1670c"
"505065"
Proposed for presentation at the Probabilistic Safety Assessment and Management held June 22-27, 2014 in Honolulu, HI.
Clayton, Daniel James; Lipinski, Ronald J.; Bechtel, Ryan D.
Funding Information
AC04-94AL85000
View MARC record | catkey: 23781222