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http://dx.doi.org/10.12989/aas.2016.3.4.471

Stochastic dynamic instability response of piezoelectric functionally graded beams supported by elastic foundation  

Shegokara, Niranjan L. (Department of Mechanical Engineering, S.V.N.I.T.)
Lal, Achchhe (Department of Mechanical Engineering, S.V.N.I.T.)
Publication Information
Advances in aircraft and spacecraft science / v.3, no.4, 2016 , pp. 471-502 More about this Journal
Abstract
This paper presents the dynamic instability analysis of un-damped elastically supported piezoelectric functionally graded (FG) beams subjected to in-plane static and dynamic periodic thermomechanical loadings with uncertain system properties. The elastic foundation model is assumed as one parameter Pasternak foundation with Winkler cubic nonlinearity. The piezoelectric FG beam is subjected to non-uniform temperature distribution with temperature dependent material properties. The Young's modulus and Poison's ratio of ceramic, metal and piezoelectric, density of respective ceramic and metal, volume fraction exponent and foundation parameters are taken as uncertain system properties. The basic nonlinear formulation of the beam is based on higher order shear deformation theory (HSDT) with von-Karman strain kinematics. The governing deterministic static and dynamic random instability equation and regions is solved by Bolotin's approach with Newmark's time integration method combined with first order perturbation technique (FOPT). Typical numerical results in terms of the mean and standard deviation of dynamic instability analysis are presented to examine the effect of slenderness ratios, volume fraction exponents, foundation parameters, amplitude ratios, temperature increments and position of piezoelectric layers by changing the random system properties. The correctness of the present stochastic model is examined by comparing the results with direct Monte Caro simulation (MCS).
Keywords
dynamic instability; functionally graded beams; Bolotin's approach; standard deviation; first order perturbation method; random system properties; elastic foundation; Monte Carlo simulation;
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Times Cited By KSCI : 1  (Citation Analysis)
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