Fiber Distributed Data Interface

FDDI Fiber distributed data interface an optical fiber based interconnect. FLOPS Floating point operations per second. 

FDDI See fiber distributed data interface (FDDI). 

The choice of a particular network architecture will have a definite bearing on the choice of network adapter cards and less of an impact on the choice of media or network operating system. For instance, an ethernet network architecture requires ethernet adapter cards. As will soon be seen, it is the adapter card which holds the key, or media access control (MAC) layer protocol, which determines whether a network is ethernet, token ring, fiber distributed data interface (FDDI) or any other network architecture. Ethernet runs over thick or thin coaxial cable, shielded or unshielded twisted pair, fiber or wireless—clearly a wide choice of media options. 

Bascom and Jensen [67], used an approach similar to that of Drzal and coworkers. Wimolkiatisak et al. [70] found that the fragmentation length data fitted both the Gaussian and Weibull distributions equally well. Fraser et al. [71 ] developed a computer model to simulate the stochastic fracture process and, together with the shear-lag analysis, described the shear transmission across the interface. Netravali et al. [72], used a Monte Carlo simulation of a Poisson-Weibull model for the fiber strength and flaw occurrence to calculate an effective interfacial shear strength X using the relationship ... 

The multidimensional chord distribution function (CDF) is an advancement of the interface distribution function. CDF is adopted to the study of highly anisotropic materials. The advantage of the CDF is that the only required assumption is a multiphase structure [46, 60], This assumption is correct for most of polymeric materials. Thus the structure of the material is revealed in real space without any adjusting parameters. The main prerequisites for computing the CDF are fiber-symmetr y and completeness of the data. 

Precision — CMCs have probabilistic strength distributions, based on the inherent variabiUty in the composite fibers, matrix, porosity, fiber interface coatings, fiber architecture and aUgnment, anisotropy, and inherent surface and volume flaws. This variability occurs spatially within and between test specimens. Data variation also develops from experimental variability in test specimen dimensions, volume/size effects, extraneous bending stresses, temperature and humidity effects and the accuracy and precision of transducers and sensors. 

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