Computational analysis of thermoelastic vibrations of functionally graded nonlocal nanobeam excited by thermal shock

Abstract

Functionally graded materials are widely used in the aerospace, nuclear, and aviation industries because of their exceptional properties. The progressive and continuous variation in elastic and thermal characteristics across its surfaces reduces thermal stress within the material and increases its endurance. To study how functionally gradient thermoelastic nanobeams interact with abrupt heat in the context of nonclassical thermoelasticity with phase delays, this study introduces a new mathematical model incorporating memory-dependent derivatives. A heat transfer equation based on memory-dependent derivatives with two delay times can be formulated by combining Eringen’s assumptions, the Hamiltonian principle, and Euler–Bernoulli’s theory. The analytical solutions for the domains of the system were obtained in the field of the Laplace transform. The distributions of physical fields such as temperature, displacement, deflection, and flexural moment were found numerically using an approximation algorithm. Through the discussion of the computational results and the graphical figures, the effects of effective parameters such as kernel functions, time delay, and nonlocal quantum were indicated. Moreover, a comparison of the current thermal conductivity model with existing classical and nonclassical thermal conductivity models was established to confirm the proposed model.