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Probabilistic structural analysis methods for improving Space Shuttle engine reliabilityProbabilistic structural analysis methods are particularly useful in the design and analysis of critical structural components and systems that operate in very severe and uncertain environments. These methods have recently found application in space propulsion systems to improve the structural reliability of Space Shuttle Main Engine (SSME) components. A computer program, NESSUS, based on a deterministic finite-element program and a method of probabilistic analysis (fast probability integration) provides probabilistic structural analysis for selected SSME components. While computationally efficient, it considers both correlated and nonnormal random variables as well as an implicit functional relationship between independent and dependent variables. The program is used to determine the response of a nickel-based superalloy SSME turbopump blade. Results include blade tip displacement statistics due to the variability in blade thickness, modulus of elasticity, Poisson's ratio or density. Modulus of elasticity significantly contributed to blade tip variability while Poisson's ratio did not. Thus, a rational method for choosing parameters to be modeled as random is provided.
Document ID
19890056736
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Boyce, L.
(Texas, University San Antonio, United States)
Date Acquired
August 14, 2013
Publication Date
August 1, 1989
Publication Information
Publication: Journal of Propulsion and Power
Volume: 5
ISSN: 0748-4658
Subject Category
Spacecraft Propulsion And Power
Accession Number
89A44107
Distribution Limits
Public
Copyright
Other

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