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AMC VLA 619ย  Special factors (Acceptable Means of Compliance)

ED Decision 2003/18/RM

For the substantiation of composite structures, unless more rational means are agreed by the Agency, one of the following may be used:

a.ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  An additional factor of 1.2 for moisture conditioned specimen tested at maximum service temperature, providing that a well established manufacturing and quality control procedure is used.

b.ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  An additional factor of 1.5 for specimen tested with no specific allowance for moisture and temperature.

NOTES:

1ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  For cold cured structures it may be assumed that the completed structure is fully moisture conditioned.

2ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  The factor in a. above may be varied based on the coefficient of variation that the manufacturer is able to show for this product. (See Table 1.)

TABLE 1

Coefficient of Variation %

Test Factor

5

1ยท00

6

1ยท03

7

1ยท06

8

1ยท10

9

1ยท12

10

1ยท15

12

1ยท22

14

1ยท30

15

1ยท33

20

1ยท55

ย 

Definition: Coefficient of Variation

For a population with mean M and standard deviation s, the coefficient of variation, Cv, is defined byย -

The coefficient of variation is frequently expressed as a percentage, in which case

Additional Advisory Material:

When the population coefficient of variation is estimated from tests of critical structural features, the results from tests of at least 6 specimens should be used.

The sample coefficient of variation should be adjusted to obtain a 95% confidence estimate of the population coefficient of variation which may be used in Table 1.

In the absence of a more rational method, this may be done by multiplying the sample coefficient of variation by a Factor F, defined by -

where -

Up is the standardised normal variate corresponding to the confidence level being used (for 95% confidence, Up = 1ยท6452)

n is the number of specimens in the Sample

f is the number of statistical degree of freedom [=(n-1)]

c is the population coefficient of variation. The value of the factor F is relatively relatively insensitive to the value of c used โ€“ in the absence of more rational data, a value of 0ยท2 should be used.