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Secondly, no mathematical model of the analyzed structure is required a priori, such that it can be applied to systems of arbitrary complexity.
The temperature equivalent to the fire exposure in the analyzed structure is taken as the input Gaussian random variable, where basic material parameters are considered as temperature-dependent and this is the basis to calculate up to the fourth probabilistic moments and characteristics of the stresses and deformations.
Particularly for the modeling of electrically large optical waveguides, where the dimension of the analyzed structure is much larger than the wavelength of the highest frequency content of the transmitted signal, the proposed method has been proven to be highly efficient compared to the standard finite-difference method.
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The analyzed structures are exposed to three different weather data sets representing the average, critical and favorable conditions, and their hygrothermal response is utilized for the assessment of the damage functions under investigation.
The seismic losses for the 24 analyzed structures were evaluated using the following procedure.
The 24 analyzed structures were grouped into eight classes (each containing the same structure designed for three levels of peak ground acceleration).
Subsequently, the damage assessment of the analyzed structures was performed using ground motions generated from a Monte-Carlo simulated earthquake catalogue for the Vrancea intermediate-depth seismic source.
The analyzed structures were designed for three levels of peak ground accelerations, corresponding to mean return periods of 100, 225, and 475 years.
Two adjacent β-strands of CC-LRR and the analyzed structures were superimposed and the side-by-side packing of the variable LRR fragments was analyzed.
The following parts of this study structures are analyzed using nonlinear static analyses.
The method most frequently employed nowadays in fully analyzing sentential structure is chart parsing.
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