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NONLINEAR ANALYSIS AND DESIGN INVESTIGATION OF A NEGATIVE POISSON'S RATIO MATERIAL

机译:负泊松比例的非线性分析与设计调查

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An engineered Negative Poisson's Ratio (NPR) material is investigated in this paper for its design variations based on two design variables. The investigated material properties include effective Young's modulus, Poisson's ratio, material density, and load-bearing efficiency in terms of rigidity/weight ratio of the material. Nonlinear behaviors of the design variations are also investigated for large deformation applications. It is seen that by varying the two design variables, the NPR can reach as low as minus sixty in a special design. Any NPR number between a positive number and minus sixty can be obtained within the design domain through the design process. The nonlinear analysis results show that the effective material properties vary depending on the load amplitude, and the NPR material becomes stiffer and stiffer when the compression load is increased. The finite element method is utilized with a multi-step linearization method to predict the nonlinear behaviors of NPR materials. This will allow the effective material properties to be calculated for any given load amplitude. The new capability can be then used to design desired NPR material in a function-oriented material design (FOMD) environment for advanced application development. Both linear and nonlinear analysis results are presented and compared in this paper in order to demonstrate the necessity of accounting for geometric nonlinearity in the NPR material design process. An NPR material simulation and design system, called FOMD-NPR, has also been developed at MKP Structural Design Associates, Inc. for designing innovative NPR materials for various applications.
机译:本文研究了工程的负泊松比率(NPR)材料,以实现基于两个设计变量的设计变化。研究的材料特性包括有效的杨氏模量,泊松比,材料密度和材料的刚性/重量比的承载效率。还研究了设计变化的非线性行为,用于大变形应用。可以看出,通过改变两个设计变量,NPR在特殊设计中可以达到低于六十的低。通过设计过程可以在设计领域中获得正数和负六十之间的任何NPR号码。非线性分析结果表明,有效材料特性根据负载幅度而变化,并且当压缩负荷增加时,NPR材料变得更硬并且更硬。有限元方法用于多步线性化方法,以预测NPR材料的非线性行为。这将允许为任何给定负载幅度计算有效的材料特性。然后可以使用新功能在以函数为导向的材料设计(FOMD)环境中设计所需的NPR材料,以进行高级应用开发。在本文中呈现并比较了线性和非线性分析结果,以证明NPR材料设计过程中的几何非线性算法的必要性。 NPR材料仿真和设计系统,称为FOMD-NPR,也在MKP结构设计Associates,Inc。为各种应用设计创新的NPR材料。

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