2016
DOI: 10.4236/wjet.2016.43044
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A Theoretical Analysis of Functionally Graded Beam under Thermal Loading

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Cited by 9 publications
(8 citation statements)
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“…Substituting the expressions for U , U , V and K from Equations (18), (20), (24) and (25) into Equation (17), the following equations of motion are obtained by integrations by parts taking into account the previous boundary conditions, and putting together the coe cients of 0 , , and .…”
Section: Boundary Conditionsmentioning
confidence: 99%
See 1 more Smart Citation
“…Substituting the expressions for U , U , V and K from Equations (18), (20), (24) and (25) into Equation (17), the following equations of motion are obtained by integrations by parts taking into account the previous boundary conditions, and putting together the coe cients of 0 , , and .…”
Section: Boundary Conditionsmentioning
confidence: 99%
“…ey used Hamilton's principle to derive the equations of motion taking into account the thermal effect. El-Megharbel [20] introduced a mathematical analysis to study the FG beam under a thermal loading by assuming two cases of heat distribution along the beam depth: Power and exponential distributions. Şimşek [21] investigated the buckling of the two-dimensional FG beams with different boundary conditions.…”
Section: Introductionmentioning
confidence: 99%
“…Functionally graded materials (FGMs) are novel materials having dimensions related properties gradually changeable with time [1]. It is the advanced development technique of formerly used composite materials [2]. FGMs are also a kind of composites, having two or more materials prepared by continues changing of material composition [3].…”
Section: Introductionmentioning
confidence: 99%
“…The thermal post-buckling and free vibration analysis of Timoshenko beams was presented by Gunda (2014) using the Rayleigh–Ritz method. El-Megharbel (2016) gave an analytical solution for FG Timoshenko beams under two kinds of temperature fields. The thermal–mechanical vibration of 2D FG porous nanobeams was studied by Mirjavadi et al (2017).…”
Section: Introductionmentioning
confidence: 99%