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Accession Number ADA564357
Title Experimental Resource Allocation for Statistical Simulation of Fretting Fatigue Problem (Preprint).
Publication Date Aug 2012
Media Count 17p
Personal Author C. Dubinsky G. Singh H. R. Millwater P. Golden
Abstract 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.
Keywords Allocations
Experimental data
Fretting fatigues
Multivariate analysis
Random variables
Resource management
Standard deviation
Wishart matrices

Source Agency Non Paid ADAS
NTIS Subject Category 71N - Nonferrous Metals & Alloys
46E - Structural Mechanics
Corporate Author Air Force Research Lab., Wright-Patterson AFB., OH. Metals Branch.
Document Type Technical report
Title Note Interim rept.
NTIS Issue Number 1303
Contract Number N/A

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