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On the behaviors of porous shape memory alloy beam with gradient porosity under pure bending

机译:纯弯曲作用下具有梯度孔隙率的多孔形状记忆合金梁的行为

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摘要

An analytical research is developed using the averaging technique of composites for the macroscopic behaviors of porous shape memory alloy (SMA) beam with different porosity under pure bending. The whole material is regarded as a composite beam of porous SMA and dense SMA, in which the component fractions of the porous SMA show gradient changes over geometric dimension. To get the theoretical solution of such material under pure bending, the Mises yield theory and the ideal elastoplastic model are used to describe the phase transition of the material. The macroscopic behaviors of the porous SMAs beam with different porosity are then simulated using the averaging technique of composites. Examples for a porous SMA beam with gradient porosity from 0 to 50% considering the tension compression asymmetry of the SMAs are then supplied; the results show that after transformation the stress distribution in the whole material is lower than in the case of the pure elastic gradient porous materials, and for different part of the SMA with different porosity shows different strength characters.
机译:使用复合材料的平均技术,对纯弯曲下不同孔隙率的多孔形状记忆合金(SMA)梁的宏观行为进行了分析研究。整个材料被视为多孔SMA和致密SMA的复合梁,其中多孔SMA的组分分数在几何尺寸上显示出梯度变化。为了获得这种材料在纯弯曲下的理论解,使用米塞斯屈服理论和理想的弹塑性模型来描述材料的相变。然后使用复合材料的平均技术模拟了具有不同孔隙率的多孔SMAs梁的宏观行为。然后提供考虑了SMA的拉伸压缩不对称性的,孔隙率从0%到50%的多孔SMA梁的示例;结果表明,相变后,整个材料的应力分布低于纯弹性梯度多孔材料,并且不同孔隙率的SMA的不同部位表现出不同的强度特性。

著录项

  • 来源
    《Journal of Materials Research》 |2019年第2期|282-289|共8页
  • 作者单位

    Civil Aviat Univ China, Airport Coll, Tianjin 300300, Peoples R China;

    Civil Aviat Univ China, Aeronaut Engn Coll, Tianjin 300300, Peoples R China;

    Civil Aviat Univ China, Aeronaut Engn Coll, Tianjin 300300, Peoples R China;

    Civil Aviat Univ China, Aeronaut Engn Coll, Tianjin 300300, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    porous shape memory alloy; gradient porosity; constitutive model;

    机译:多孔形状记忆合金梯度孔隙率本构模型;

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