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Probabilistic Structural Analysis Methods for select space propulsion system structural components (PSAM)The objective is the development of several modular structural analysis packages capable of predicting the probabilistic response distribution for key structural variables such as maximum stress, natural frequencies, transient response, etc. The structural analysis packages are to include stochastic modeling of loads, material properties, geometry (tolerances), and boundary conditions. The solution is to be in terms of the cumulative probability of exceedance distribution (CDF) and confidence bounds. Two methods of probability modeling are to be included as well as three types of structural models - probabilistic finite-element method (PFEM); probabilistic approximate analysis methods (PAAM); and probabilistic boundary element methods (PBEM). The purpose in doing probabilistic structural analysis is to provide the designer with a more realistic ability to assess the importance of uncertainty in the response of a high performance structure. Probabilistic Structural Analysis Method (PSAM) tools will estimate structural safety and reliability, while providing the engineer with information on the confidence that should be given to the predicted behavior. Perhaps most critically, the PSAM results will directly provide information on the sensitivity of the design response to those variables which are seen to be uncertain.
Document ID
Document Type
Reprint (Version printed in journal)
Cruse, T. A. (Southwest Research Inst. San Antonio, TX, United States)
Burnside, O. H. (Southwest Research Inst. San Antonio, TX, United States)
Wu, Y.-T. (Southwest Research Inst. San Antonio, TX, United States)
Polch, E. Z. (Southwest Research Institute San Antonio, TX, United States)
Dias, J. B. (MARC Analysis Research Corp. Palo Alto, CA, United States)
Date Acquired
August 13, 2013
Publication Date
January 1, 1988
Publication Information
Publication: Computers and Structures
Volume: 29
Issue: 5 19
ISSN: 0045-7949
Subject Category
Funding Number(s)
Distribution Limits