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Accession Number
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ADA564357
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Title
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Experimental Resource Allocation for Statistical Simulation of Fretting Fatigue Problem (Preprint).
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Publication Date
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Aug 2012
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Media Count
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17p
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Personal Author
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C. Dubinsky G. Singh H. R. Millwater P. Golden
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Abstract
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Estimation of statistical moments from simulation, i.e., mean and standard deviation of an output, may involve large uncertainty caused by the variability in the input random variables. The allocation of resources to obtain more experimental data can reduce the variance of the output moments (mean and standard deviation). The methodology proposed and executed used an optimization method to determine the optimal number of additional experiments required to minimize the variance of the output moments given a constraint. A method to generate the output moments based on the moments of the input variables was implemented. The method used the multivariate t-distribution and the Wishart distribution to generate realizations of the population mean and population covariance of the input variables, respectively. This method was sufficient to handled independent and correlated variables. A fretting fatigue problem was explored to minimize the variance of cycles-to failure mean and standard deviation.
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Keywords
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Allocations
Covariance
Estimates
Experimental data
Failure
Fatigue(Mechanics)
Fretting
Fretting fatigues
Multivariate analysis
Population(Mathematics)
Random variables
Resource management
Standard deviation
Statistics
Uncertainty
Wishart matrices
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Source Agency
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Non Paid ADAS
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NTIS Subject Category
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71N - Nonferrous Metals & Alloys
46E - Structural Mechanics
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Corporate Author
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Air Force Research Lab., Wright-Patterson AFB., OH. Metals Branch.
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Document Type
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Technical report
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Title Note
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Interim rept.
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NTIS Issue Number
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1303
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Contract Number
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N/A
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