Deconvolution of variability and uncertainty in the Cassini safety analysis

Computer Science – Performance

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Thermoelectric, Electrogasdynamic And Other Direct Energy Conversion, Performance Characteristics Of Energy Conversion Systems, Figure Of Merit, Other Topics In Nuclear Engineering And Nuclear Power Studies

Scientific paper

The standard method for propagation of uncertainty in a risk analysis requires rerunning the risk calculation numerous times with model parameters chosen from their uncertainty distributions. This was not practical for the Cassini nuclear safety analysis, due to the computationally intense nature of the risk calculation. A less computationally intense procedure was developed which requires only two calculations for each accident case. The first of these is the standard ``best-estimate'' calculation. In the second calculation, variables and parameters change simultaneously. The mathematical technique of deconvolution is then used to separate out an uncertainty multiplier distribution, which can be used to calculate distribution functions at various levels of confidence.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Deconvolution of variability and uncertainty in the Cassini safety analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Deconvolution of variability and uncertainty in the Cassini safety analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Deconvolution of variability and uncertainty in the Cassini safety analysis will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1652429

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.