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A Novel Numerical Random Model of Short Fiber Reinforced Foams

机译:短纤维增强泡沫的新型数值随机模型

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Research on reinforced foams is getting heating, but the theoretic models of short fiber reinforced foams are still incomplete. This paper will discuss how a Random Sequential Adsorption Algorithm combines with a single tetrakaidecahedron of closed cell foams. As a result of research, a finite element numerical random analysis model will be set up. The model is used to compute the Young's modulus, strain and stress of the short fiber reinforced foams. The simulation results show that it is useful for advancing theories of the reinforced foams.
机译:加固泡沫的研究正在加热,但短纤维增强泡沫的理论模型仍然不完整。本文将讨论随机顺序吸附算法如何与闭孔泡沫的单个四面八板化合物相结合。作为研究的结果,将建立有限元数值随机分析模型。该模型用于计算短纤维增强泡沫的杨氏模量,应变和应力。仿真结果表明,它对于推进增强泡沫的理论是有用的。

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