APPLICATION OF NON-DETERMINISTIC METHODS TO ASSESS MODELLING UNCERTAINTIES FOR REINFORCED CARBON-CARBON DEBRIS IMPACTS
The Space Shuttle Columbia Accident Investigation Board (CAIB) made several recommendations for improving the NASA Space Shuttle Program. An extensive experimental and analytical program has been developed to address two recommendations related to structural impact analysis. The objective of the present work is to demonstrate the application of probabilistic analysis to assess the effect of uncertainties on debris impacts on Space Shuttle Reinforced Carbon-Carbon (RCC) panels. The probabilistic analysis is used to identify the material modeling parameters controlling the uncertainty. A comparison of the finite element results with limited experimental data provided confidence that the simulations were adequately representing the global response of the material. Five input parameters were identified as significantly controlling the response.
https://www.dynalook.com/conferences/international-conf-2004/03-3.pdf/view
https://www.dynalook.com/@@site-logo/DYNAlook-Logo480x80.png
APPLICATION OF NON-DETERMINISTIC METHODS TO ASSESS MODELLING UNCERTAINTIES FOR REINFORCED CARBON-CARBON DEBRIS IMPACTS
The Space Shuttle Columbia Accident Investigation Board (CAIB) made several recommendations for improving the NASA Space Shuttle Program. An extensive experimental and analytical program has been developed to address two recommendations related to structural impact analysis. The objective of the present work is to demonstrate the application of probabilistic analysis to assess the effect of uncertainties on debris impacts on Space Shuttle Reinforced Carbon-Carbon (RCC) panels. The probabilistic analysis is used to identify the material modeling parameters controlling the uncertainty. A comparison of the finite element results with limited experimental data provided confidence that the simulations were adequately representing the global response of the material. Five input parameters were identified as significantly controlling the response.
03-3.pdf
— 597.5 KB