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Shape optimization of bowtie-shaped auxetic structures using beam theory

机译:基于束理论的领结形张性结构形状优化

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Auxetic structures with a negative Poisson's ratio (NPR) are known for their novel mechanical properties. Recent studies have shown that these properties can be tailored using numerical simulations based on the finite element method where plane or solid elements are applied, combined with optimization techniques. However, an optimization procedure based on beam theory, which is expected to be more computationally efficient than the prevalent plane or solid element formulations, has not been developed thus far. In this paper, we propose a nonlinear beam theory-based model discretized by the Ritz method for the optimum design of bowtie-shaped auxetic structures. For a systematic design process, effective stiffness, NPR, maximum stress, and volume are defined as the main performance indices. Two design parameters, namely, the initial shape of the centerline and the thickness profile represented by B-spline curves, are used to maximize the performance of the system. Our study confirmed that auxetic structures can be tailored to yield a minimum value of the NPR, stress, and volume without the loss of effective stiffness. 3D-printed prototypes were tested to verify the accuracy of the proposed model and the optimality of the design.
机译:具有负泊松比(NPR)的辅助结构以其新颖的机械性能而闻名。最近的研究表明,可以使用基于有限元方法(应用平面或实体元素)以及优化技术的数值模拟来定制这些属性。但是,到目前为止,尚未开发出基于射束理论的优化程序,该程序预期比普遍的平面或实体元素公式在计算效率上更高。在本文中,我们提出了一种基于非线性梁理论的模型,该模型通过Ritz方法离散化,以设计领结形的膨胀结构。对于系统设计过程,有效刚度,NPR,最大应力和体积被定义为主要性能指标。两个设计参数,即中心线的初始形状和B样条曲线表示的厚度轮廓,用于最大化系统的性能。我们的研究证实,可以调整膨胀结构以产生NPR,应力和体积的最小值,而不会损失有效刚度。测试了3D打印的原型,以验证所提出模型的准确性和设计的最优性。

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