Artificial Neural Network-based Finite Element method for assessing fatigue and stability of an origami-inspired structure
Artificial Neural Network-based Finite Element method for assessing fatigue and stability of an origami-inspired structure
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DOI：
10.1016/j.engstruct.2022.114965
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发表时间：
2022-12
影响因子：
5.5
通讯作者：
Mojtaba Moshtaghzadeh;A. Bakhtiari;Pezhman Mardanpour
中科院分区：
文献类型：
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作者：
Mojtaba Moshtaghzadeh;A. Bakhtiari;Pezhman Mardanpour
在本文中，我们提出了一个可重构的折纸启发结构的力学特性的有限元和人工神经网络（ANN）的方法进行了全面的研究。在可重构结构中引入了折痕部分的设计，折痕部分在折叠和展开过程中经历了巨大而复杂的变形。虽然这种折痕设计可以使部署过程更简单，但它可能危及结构的稳定性和生命周期。探讨了长比、总高、层高、厚度、折痕指数、外接圆半径等几何参数对结构稳定性和疲劳破坏的影响。为了减少计算时间，我们开发了一个人工神经网络采用有限元法（FEM）的结果。人工神经网络的结果表明，减少外接圆的半径，长度比，和总高度提高折纸启发结构的稳定性。研究发现，折痕指数影响基于外接圆半径的稳定性。此外，我们调查这些参数如何同时有助于这种设计的屈曲载荷和生命周期。结果提供了一个详细的设计参数特性图，可用于优化折纸结构的性能。
In this paper, we present a comprehensive study of mechanical characteristics of a reconfigurable origami-inspired structure using Finite Element and Artificial Neural Network (ANN) approaches. We introduce a design of crease section in the proposed reconfigurable structure, which undergoes enormous and complicated deformation in the folding and unfolding process. Although this crease design can make the deploying process more straightforward, it can jeopardize the stability and life cycle of the structure. We explore how the geometric parameters of the design affect the stability and fatigue failure, including length ratio, total height, story’s height, thickness, crease indexes, and circumscribed circle’s radius. In order to reduce the computational time, we develop an ANN employing the obtained Finite Element method (FEM) results. The ANN results demonstrate that decreasing the circumscribed circle’s radius, the length ratio, and the total height enhance the stability of the origami-inspired structure. It is found that crease indexes affect stability based on the radius of the circumscribed circle. In addition, we investigate how these parameters simultaneously contribute to this design’s buckling load and life cycle. The results provide a detailed design parameter characteristic map that can be used to optimize origami structure performance.