Asymptotic Formulation of the Role of Shear Loads on Multi-Layered Thin Shells and Classification of Their Deformation Modes
<|reference_start|>Asymptotic Formulation of the Role of Shear Loads on Multi-Layered Thin Shells and Classification of Their Deformation Modes: Shell structures are generally modeled based on kinematic hypotheses, where some of the parameters are preferentially evaluated in a phenomenological manner. In this article, asymptotic analysis against the underlying three-dimensional equation system is considered so as to provide a rational framework for modeling and interpreting the deformation behavior of multi-layered thin shells (MTSs). Capable of accurate predictions of not only the overall stiffness of MTSs, but also the detailed stress distribution, the proposed shell theory shows its distinguishing features at least in the following aspects. Firstly, it naturally introduces a rule for classifying the deformation modes of MTSs. One mode resembles a plate, where the transverse load is withstood through bending, while the other is like a supporting structure, where the load gets conducted to adjacent inclined sections. Secondly, in contrast with the existing arguments where an applied shear load on the shell surface necessitates the inclusion of transverse shear stresses for analysis, it is demonstrated that a leading-order multi-layered shell theory derived from asymptotic analysis should suffice to output satisfactory predictions over the shell stiffness, as well as its internal stress distribution. Numerical examples of the deformation and strength analysis for MTSs are also presented to show the reliability of the leading-order model.<|reference_end|>
@article{pan2024asymptotic,
    title={Asymptotic Formulation of the Role of Shear Loads on Multi-Layered Thin
  Shells and Classification of Their Deformation Modes},
    author={Xiwei Pan (1) and Yichao Zhu (1,2) ((1) Department of Engineering
  Mechanics, Dalian University of Technology, (2) State Key Laboratory of
  Structural Analysis, Optimization and CAE Software for Industrial Equipment)},
    journal={arXiv preprint arXiv:2407.21021},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.21021},
    primaryClass={cond-mat.mtrl-sci cs.NA math.NA}
}