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The average loss factor is deduced from the decay curve.
In particular a formulation to calculate the average loss factor in the general case of an anisotropic component is proposed.
Moreover, the average loss factor and the loss factor under 1 T of the sample (flower-like CIPs weight content 8 wt%) are 0.36 and 0.07, which are approximately 1.71 and 2.71 times than that in the non-substitution sample.
These values are used in the response tools (mkarf, mkinstmap, mkgarf, and mkwarf) in conjunction with the observation-dependent parameter block to compute the average loss factor as a function of position to modify the resultant effective area or "FRACEXPO" (used in pileup modeling, where the exposure time cannot be absorbed into the QE).
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This paper describes a thorough investigation of the measurement of frequency band average loss factors of structural components for use in the statistical energy analysis (SEA) method of computation of vibration levels.
From an ensemble study of all 150 seats, the average path loss factor,, was found to be 2.6, 3.1, and 3.2 at 1.8, 2.1 and 2.45 GHz, respectively.
Statistical energy analysis (SEA) parameters such as average modal spacing, coupling loss factor and input power are numerically determined for point connected, directly coupled symmetrically laminated composite plates using a modal-based approach.
Two alternative digital techniques for measuring modal and band averaged internal loss factors in lightly damped pipeline systems are described.
The frequency averaged coupling loss factors are calculated for weak and strong coupling, first by using a power injection method, where the power balance equations are formed on the assumption of only direct coupling loss factors.
This system was analyzed by using a wave approach in references [1 4], where expressions for time harmonic coupling and input powers, their ensemble averages and the coupling loss factor were derived.
In either case the ratio of the average error in the resultant energy level to the average error in the coupling loss factor decreases as the errors increase.
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