Probabilistic structural analysis methods for select space propulsion system structural components (PSAM)

Cruse, T. A.; Burnside, O. H.; Wu, Y.-T.; Polch, E. Z.; Dias, J. B.

doi:10.1016/0045-7949(88)90356-2

Cited by 41 publications

(4 citation statements)

References 4 publications

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“…Udwadia (1987a, b) considered maximum entropy probability distributions for incompletely specified system parameters of a sdof system. Other examples include lognormal models Cruse et al, 1988), beta distributions ) and ultraspherical random variables (Jensen and Iwan, 1991). It is known that the skewness and kurtosis coefficients of a Gaussian process are y 3 = 0 and y 4 = 3, respectively.…”

Section: Non-gaussian Modelsmentioning

confidence: 99%

Progress in Structural Dynamics With Stochastic Parameter Variations: 1987-1998

Manohar

Ibrahim

1999

Applied Mechanics Reviews

131

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This article is an update of an earlier paper by Ibrahim (1987) and is aimed at reviewing the work published during the last decade in the area of vibration of structures with parameter uncertainties. Different types of uncertainty modeling are described in terms of material and geometric properties. These models are considered in terms of Gaussian or non-Gaussian distributions. Computational stochastic algorithms including stochastic finite element methods and Monte Carlo simulation are dominating a major part of current activities. Recent analytical developments of the random eigenvalue problem are reviewed with reference to typical structural elements. These developments include the implementation of statistical energy analysis, stochastic boundary element methods, and interval algebra. Other topics include forced vibration of single-and multi-degree-offreedom systems including nonlinear systems, localization in disordered periodic structures, and experimental results. Computational stochastic mechanics has found several industrial applications including aerospace, automotive and composite structural elements. The review also covers developments in the areas of statistical modeling of high frequency vibrations. There are 183 references.

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Section: Non-gaussian Modelsmentioning

confidence: 99%

Progress in Structural Dynamics With Stochastic Parameter Variations: 1987-1998

Manohar

Ibrahim

1999

Applied Mechanics Reviews

131

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“…One of the pioneering probabilistic code developments was work sponsored by the NASA (then) Lewis Research Center under the probabilistic structural analysis methods (PSAM) contract effort [43,44]. The work was done at Southwest Research Institute (SwRI).…”

Section: Finite Element Based Probabilistic Analysismentioning

confidence: 99%

Transitioning NDA from Research to Engineering Design

Cruse¹,

Brown²

2004

Engineering Design Reliability Handbook

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“…If the material parameter distribution is known, and the effect of changes in the uncertain property are estimated, then the Fast Probability Integration (FPI) algorithm of Wu computes the cumulative distribution of the resulting system natural frequency, or other performance measure. The approach can treat any number of random variables, and is accurate even in the tails of the distribution of the response variable (Cruse et al, 1988).…”

Section: Fig 1 Modular Construction Of the Nessus Code For Psammentioning

confidence: 99%

Probabilistic Structural Analysis for Advanced Space Propulsion Systems

Cruse

Unruh

et al. 1989

Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation;

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The paper reports on recent extensions to ongoing research into probabilistic structural analysis modeling of advanced space propulsion system hardware. The advances concern probabilistic dynamic loading, and probabilistic nonlinear material behavior. In both cases, the reported work represents a significant advance in the state-of-the-art for these topics. Random, or probabilistic loading is normally concerned with the loading described in power spectral density (PSD) terms. The current work describes a method for incorporating random PSD’s along with random material properties, damping, and structural geometry. The probabilistic material response is concerned with the prediction of nonlinear stress-strain behavior for physical processes that can be linked to the original microstructure of the material. Such variables as grain size and orientation, grain boundary strength, etc. are treated as random, initial variables in generating stochastic stress-strain curves. The methodology is demonstrated for a creep simulation.

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Probabilistic structural analysis methods for select space propulsion system structural components (PSAM)

Cited by 41 publications

References 4 publications

Progress in Structural Dynamics With Stochastic Parameter Variations: 1987-1998

Progress in Structural Dynamics With Stochastic Parameter Variations: 1987-1998

Transitioning NDA from Research to Engineering Design

Probabilistic Structural Analysis for Advanced Space Propulsion Systems

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