By Robert C. Stern

London released glossy Conflicts - Air

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**Example text**

1, y is the difference between y and its mean. If y is taken as the quantity itself, y should be replaced with (y — ymean) in Eq. 4). Plots. The cumulative Gaussian probability distribution P(y) is not expressible in closed form. A plot of 1 — P(y\ which can be used as a source of numerical values, is given in Fig. 2. A more comprehensive set of plots is provided in Appendix C. Probability That y/a Is Exceeded Q O s: i O '*? 3 Significance of the Gaussian Distribution The Gaussian probability density is far more than an empirical mathematical expression that happens to be a good fit for a great deal of experimental data.

Presumably, random processes do occur for which these requirements are indeed closely met. Internally generated noise in electronic circuits appears to be one of these. The ramifications of these requirements with respect to atmospheric turbulence are discussed in Chapter 12. 4. 1 Frequency Content: Superposition of Sinusoids The magnitude of a stationary Gaussian random process is seen to be defined statistically by its rms value and its probability distribution (Gaussian). To complete the statistical description of the random process requires, in addition, the definition of its frequency content.

J. G. Jones of the Royal Aircraft Establishment (RAE), as a result of power-spectral density considerations, has proposed and this seems quite reasonable (see Ref. 7). BCAR, however, does not yet provide for other than a constant £/0; no constant of proportionality has yet been established for design use of the aforementioned relationship. 3 Comparative A nalysis Prior to the early 1950's, no explicit consideration had been given to the dynamic response of elastic modes in establishing gust loads for design.