In this study, we focus on the bending analysis of the 2 D FG nanoplate based on a new high-order shear deformation theory (HSDT). This kind of HSDT is one of the most accurate HSDT because the shape functions are selected as an accurate combination of exponential, trigonometric and polynomial functions. The mechanical properties of the nanoplate vary along the length and thickness, based on arbitrary functions. The small scale effect of the nanostructure is modeled according to the nonlocal theory of elasticity. The governing equations of the problem are obtained from Hamilton’s principle, whereas the Galerkin method is proposed for a closed-form solution of the structural problem for simply-supported nanostructures. The work provides a unified framework for the mechanical analysis of both thin and thick plates. The effect of several parameters, such as the nonlocal parameter, as well as the mechanical and geometrical properties and FG indexes, are investigated on the bending deflection of the 2 D FG nanoplates. The numerical results from our investigation could be considered as valid benchmarks in the literature for possible further analyses of nanoplates.
In this paper, we present the design, simulation, and experimental verification of a dual-band free-standing metamaterial filter operating in a frequency range of 1 THz-30 THz. The proposed structure consists of periodically arranged composite air holes, and exhibits two broad and flat transmission bands. To clarify the effects of the structural parameters on both resonant transmission bands, three sets of experiments are performed. The first resonant transmission band shows a shift towards higher frequency when the side width w 1 of the main air hole is increased. In contrast, the second resonant transmission band displays a shift towards lower frequency when the side width w 2 of the sub-holes is increased, while the first resonant transmission band is unchanged. The measured results indicate that these resonant bands can be modulated individually by simply optimizing the relevant structural parameters (w 1 or w 2 ) for the required band. In addition, these resonant bands merge into a single resonant band with a bandwidth of 7.7 THz when w 1 and w 2 are optimized simultaneously. The structure proposed in this paper adopts different resonant mechanisms for transmission at different frequencies and thus offers a method to achieve a dual-band and low-loss filter.
Henry's constants for different existing compounds in water have great importance in transfer calculations. Measurement of these constants face different difficulties including high costs of experiment and low accuracy of measurement apparatus. Due to these facts, proposing a low cost and accurate approach becomes highlighted. To this end, adaptive neuro-fuzzy inference system (ANFIS) and least squares support vector machine (LSSVM) have been used as Henry's constant predictor tools. The molecular structure of compounds has been used as inputs of models. After training the models, the visual and mathematical studies of outputs have been done. The coefficients of determination of LSSVM and ANFIS algorithms are 0.999 and 0.990 respectively. According to the comprehensiveness of databank and accurate prediction of algorithms, it can be concluded that LSSVM and ANFIS algorithms are accurate methods for prediction of Henry's constant in wide range of chemical structure of compounds in water.
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