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Statistical Analysis of Atmospheric Flight Gust Loads Analysis Data

Authors: J. Clark; M. Kim; A. Kabe;

Statistical Analysis of Atmospheric Flight Gust Loads Analysis Data

Abstract

To establish launch vehicle loads during atmospheric e ight, the statistical characteristics of the turbulence/gustinducedloadsneedtobedetermined.Recently,aMonteCarloanalysisprocedurewasdevelopedthatusesmeasured turbulence/gusts to establish launch-vehicle loads. The procedures developed to characterize the distribution of the data and to calculate tolerance bounds on these Monte Carlo loads are presented. Nomenclature C = cone dence level E = load enclosure FX or GX = cumulative distribution function of X FZ = cumulative distribution function of a standard normal random variable fX = probability density function of X n = sample size q X p = p-quantile of X s = sample standard deviation TX = tolerance bound for X tn,d , p = p-quantile of noncentral t distribution with n degrees of freedom and noncentrality parameter d X = random variable ¯ x = sample mean Z = standard normal random variable zp = standard normal p-quantile

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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