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Probabilistic structural analysis algorithm development for computational efficiencyThe PSAM (Probabilistic Structural Analysis Methods) program is developing a probabilistic structural risk assessment capability for the SSME components. An advanced probabilistic structural analysis software system, NESSUS (Numerical Evaluation of Stochastic Structures Under Stress), is being developed as part of the PSAM effort to accurately simulate stochastic structures operating under severe random loading conditions. One of the challenges in developing the NESSUS system is the development of the probabilistic algorithms that provide both efficiency and accuracy. The main probability algorithms developed and implemented in the NESSUS system are efficient, but approximate in nature. In the last six years, the algorithms have improved very significantly.
Document ID
19930022380
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Wu, Y.-T.
(Southwest Research Inst. San Antonio, TX, United States)
Date Acquired
September 6, 2013
Publication Date
May 1, 1991
Publication Information
Publication: NASA. Lewis Research Center, Structural Integrity and Durability of Reusable Space Propulsion Systems
Subject Category
Computer Programming And Software
Accession Number
93N31569
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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