Steel and Composite Structures

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Stability of an improved optimization iterative algorithm to study vibrations of the multi-scale solar cells subjected to wind excitation using Series-Fourier algorithm

  • Jing Pan (Department of Materials and Chemical Engineering, Taiyuan University) ;
  • Yi Hu (Department of Materials and Chemical Engineering, Taiyuan University) ;
  • Guanghua Zhang (Department of Intelligence and Automation, Taiyuan University)
  • Received : 2020.07.13
  • Accepted : 2023.09.22
  • Published : 2024.01.10
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Abstract

This research explores the domain of organic solar cells, a photovoltaic technology employing organic electronics, which encompasses small organic molecules and conductive polymers for efficient light absorption and charge transport, leading to electricity generation from sunlight. A computer simulation is employed to scrutinize resonance and dynamic stability in OSCs, with a focus on size effects introduced by nonlocal strain gradient theory, incorporating additional terms in the governing equations related to displacement and time. Initially, the Navier method serves as an analytical solver to delve into the dynamics of design points. The accuracy of this initial step is verified through a meticulous comparison with high-quality literature. The findings underscore the substantial impact of viscoelastic foundations, size-dependent parameters, and geometric factors on the stability and dynamic deflection of OSCs, with a noteworthy emphasis on the amplified influence of size-dependent parameters in higher values of the different layers' thicknesses.

Keywords

Acknowledgement

This work was supported by the Fund for Shanxi"1331 Project"and Shanxi Province Science Foundation for Youths (Grant No. 202103021223008) and Educational Commission of Shanxi Province of China (Grant No. J2021770) and Scientific and Technologial Innovation Programs of Higher Education Institutions in Shanxi (Grant No.2021L574) and Teaching reform and innovation project of colleges and universities in Shanxi Province (Grant No. J2021770).

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