Dynamic and quasi-static behavior of laminated FG-CNTRC viscoelastic double-curved shells
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Ali Dogan [1]
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[1] Department of Civil Engineering, Iskenderun Technical University, Iskenderun, Hatay, Türkiye
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- Localización: Mechanics based design of structures and machines, ISSN 1539-7734, Vol. 53, Nº. 8, 2025, págs. 5953-5991
- Idioma: inglés
- Enlaces
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Resumen
This work investigated the quasi-static and dynamic behavior under dynamic loads of viscoelastic shells reinforced using functionally graded carbon nanotube-reinforced composite material (FG-CNTRC). The dynamic analysis of CNTRC shells by single-walled CNTs (SWCNTs) is the subject of this study. SWCNTs were thought to have a homogenous pattern and to be straight and aligned. Three different FG-CNT distributions of carbon nanotubes over thickness were studied, as well as homogenous CNT topologies. With the use of Hamilton’s principle, the equation of motion for composite shells was achieved. The time-dependent equations were obtained by using the Navier solution method to solve the equation of motion. The truncated series approach was applied while formulating the system’s equations to improve numerical stability. A viscoelastic damped movement for dynamic loaded FG-CNTRC shells has been obtained for the first time by applying the approach of truncated equations as proposed here. Laplace domain was used to transform these equations. The subsequent computations were performed using the modified-Durbin technique, which changed the Laplace area to the time-area. The conclusions indicate that using the Laplace approach, there is no need to employ modes or vibration to solve the issue exactly, efficiently, and simply. The composites reinforced by FG-CNT have demonstrated great potential in developing high-performance, smart materials and structures. The numerical investigation is envisaged to provide guidelines for the design of developing smart engineering structures. A suitable change in damping ratios, curvature ratio, FG configurations, volume fractions can enable the manufacture of smart products that intelligently respond to dynamic problems.
