Computation of destructive satellite re-entries

Statistics – Computation

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Satellites, Re-Entries

Scientific paper

The software system SCARAB ('Spacecraft Atmospheric Re-entry and Aerothermal Break-up') is designed to calculate the destruction of spacecraft during their re-entry flight through the Earth atmosphere. This software has a modular structure, combining flight dynamics, aerothermodynamics, thermal analysis, and structural analysis. The software has been applied to several test cases. Some results could be verified with in-flight measurements, other results were compared with other existing re-entry prediction tools. Now we are working on re-entry survivability studies for satellites at their end of mission. Currently there are several satellites of interest in orbit which will make an uncontrolled re-entry during the next few years. For satellites without controlability the SCARAB S/W computes the satellite destruction history and the ground impact risk. For 'controlled re-entries' (uncontrolled re-entry after a de-orbit boost) the computations can give recommendations for the choice of suitable entry conditions. The present paper presents results of current studies.

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

Computation of destructive satellite re-entries 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 Computation of destructive satellite re-entries, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computation of destructive satellite re-entries will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1105650

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